dify retrieval not working in workflow for more than 100 files

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Dify version

1.11.1

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

I used the API to upload 200 pdfs into a knowledgebase. When all documents are activated, the retrieval works in the knowledge > retrieval testing section but not in the retrieval node of my workflow. I get an empty results as retrieval response:

however, when I deactivate 100 documents so that there are only 100 documents active in the knowledge base:

The retrieval works in the retrieval node in the workflow:

the docker compose logs show the following exception:

api-1 | Exception in thread Thread-81 (_retriever): api-1 | Traceback (most recent call last): api-1 | File "/usr/local/lib/python3.12/threading.py", line 1075, in _bootstrap_inner api-1 | self.run() api-1 | File "/usr/local/lib/python3.12/threading.py", line 1012, in run api-1 | self._target(*self._args, **self._kwargs) api-1 | File "/app/api/core/rag/retrieval/dataset_retrieval.py", line 653, in _retriever api-1 | documents = RetrievalService.retrieve( api-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^ api-1 | File "/app/api/core/rag/datasource/retrieval_service.py", line 107, in retrieve api-1 | raise ValueError(";\n".join(exceptions)) api-1 | ValueError: Error parsing message; api-1 | Error parsing message api-1 | /app/api/.venv/lib/python3.12/site-packages/sqlalchemy/sql/compiler.py:3299: ResourceWarning: unclosed <socket object, fd=26, family=2, type=1, proto=6> api-1 | def _literal_execute_expanding_parameter(self, name, parameter, values):

Any Ideas what is going on?

In a different dify installation that we use in production with v1.9.2, we do not have that issue. There, we use over 400 documents successfully in a chatflow.

✔️ Expected Behavior

The expected behavior would be a successful retrieval with more than 100 active documents in the knowledgebase

❌ Actual Behavior

please see the detailed description in repo steps section.

retrieval node returns empty json in a workflow:

Dec 16 '25 10:12 daniel-kress

This issue is likely caused by how Dify 1.11.1 handles retrieval with large document sets in workflows. The retrieval node uses multi-threading and aggregates exceptions from all threads—if any thread fails (for example, due to resource exhaustion, message size, or parsing errors), the workflow node returns empty results and logs a ValueError like "Error parsing message" reference.

There’s no explicit hardcoded document limit, but practical limits come from thread pool size, database connections, and resource exhaustion when handling many documents concurrently. Known bugs in 1.11.1—like manual segment indexing, metadata search inconsistencies, and unreliable retrieval of certain segment types—can also cause empty results or failures in workflows with large knowledge bases reference.

To mitigate:

Reduce the number of active documents or optimize metadata filters to avoid overwhelming the retrieval pipeline.
Increase Docker resource allocations (CPU/memory) and check the RETRIEVAL_SERVICE_EXECUTORS setting to tune concurrency.
Re-index segments or reload the knowledge base if you suspect indexing issues.
For robust support with large document sets, consider upgrading to a newer Dify version—recent releases include fixes for deduplication, recursion, and retrieval stability with large datasets.

If you need more technical details or want to troubleshoot further, let me know what you’d like to dig into.

To reply, just mention @dosu.

^{How did I do? Good | Irrelevant | Incorrect | Verbose | Hallucination | Report 🐛 | Other}

Dec 16 '25 10:12 dosubot[bot]

i index the 260 document

using knowledge in chatflow

it work ok

Dec 17 '25 05:12 fatelei

i have the same problem , hao does resolve it ?

Dec 18 '25 10:12 gavinage

how many documents do you have？

Dec 18 '25 10:12 fatelei

137个，换成90几个就可以使用filter ，不使用filter 就很ok

api-1 | Exception in thread Thread-15 (_retriever): api-1 | Traceback (most recent call last): api-1 | File "/usr/local/lib/python3.12/threading.py", line 1075, in _bootstrap_inner api-1 | self.run() api-1 | File "/usr/local/lib/python3.12/threading.py", line 1012, in run api-1 | self._target(*self._args, **self._kwargs) api-1 | File "/app/api/core/rag/retrieval/dataset_retrieval.py", line 798, in _retriever api-1 | documents = RetrievalService.retrieve( api-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^ api-1 | File "/app/api/core/rag/datasource/retrieval_service.py", line 111, in retrieve api-1 | raise ValueError(";\n".join(exceptions)) api-1 | ValueError: Error parsing message; api-1 | Error parsing message

Dec 18 '25 10:12 gavinage

What filter are you referring to? We are not using any meta data filter at the moment.

As mentioned in the original post, we have other older dify deployments with retrieval nodes for over 400 documents that work fine on v1.9.2. Therefore, I suspect an issue with the current version.

Unfortunately, I do not understand the Error parsing message...

Dec 18 '25 11:12 DanielKress

give a picture about how to search ?

Dec 18 '25 14:12 fatelei

current implement using ThreadPoolExecutor to concurrent query, when there is a error occur, add it to exceptions list, if exceptions list has a item, raise the value error

Dec 18 '25 14:12 fatelei

parse message maybe error occur in parse, tell me you how to search

Dec 18 '25 14:12 fatelei

Dec 19 '25 01:12 gavinage

no problem

Dec 19 '25 01:12 fatelei

是否跟向量数据库有关系，我使用的weaviate集群

Dec 19 '25 02:12 gavinage

i am using weaviate too

Dec 19 '25 02:12 fatelei

i found some other error infos , is any help?

api-1 | 2025-12-19 10:11:30.204 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_body.failed exception=GeneratorExit()

=============== api-1 | 2025-12-19 10:11:23.786 DEBUG [Dummy-35] [_config.py:82] - load_ssl_context verify=True cert=None trust_env=True http2=False api-1 | 2025-12-19 10:11:23.786 DEBUG [Dummy-35] [_config.py:148] - load_verify_locations cafile='/app/api/.venv/lib/python3.12/site-packages/certifi/cacert.pem' api-1 | 2025-12-19 10:11:23.811 DEBUG [Dummy-35] [_trace.py:47] - connect_tcp.started host='plugin_daemon' port=5002 local_address=None timeout=300.0 socket_options=None api-1 | 2025-12-19 10:11:23.812 DEBUG [Dummy-35] [_trace.py:47] - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7f71ef7933e0> api-1 | 2025-12-19 10:11:23.813 DEBUG [Dummy-35] [_trace.py:47] - send_request_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:23.813 DEBUG [Dummy-35] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:23.813 DEBUG [Dummy-35] [_trace.py:47] - send_request_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:23.813 DEBUG [Dummy-35] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:23.813 DEBUG [Dummy-35] [_trace.py:47] - receive_response_headers.started request=<Request [b'GET']> plugin_daemon-1 | [GIN] 2025/12/19 - 02:11:23 | 200 | 849.96µs | 172.31.0.3 | GET "/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/management/triggers?page=1&page_size=256" nginx-1 | 192.168.45.167 - - [19/Dec/2025:02:11:23 +0000] "GET /console/api/files/upload HTTP/1.1" 200 223 "http://10.1.228.164/app/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflow" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36" "-" nginx-1 | 192.168.45.167 - - [19/Dec/2025:02:11:23 +0000] "GET /console/api/account/profile HTTP/1.1" 200 315 "http://10.1.228.164/app/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflow" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36" "-" api-1 | 2025-12-19 10:11:23.816 DEBUG [Dummy-35] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'Content-Type', b'application/json; charset=utf-8'), (b'Date', b'Fri, 19 Dec 2025 02:11:23 GMT'), (b'Content-Length', b'40')]) api-1 | 2025-12-19 10:11:23.816 INFO [Dummy-35] [_client.py:1038] - HTTP Request: GET http://plugin_daemon:5002/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/management/triggers?page=1&page_size=256 "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:23.816 DEBUG [Dummy-35] [_trace.py:47] - receive_response_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:23.816 DEBUG [Dummy-35] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:23.817 DEBUG [Dummy-35] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:23.817 DEBUG [Dummy-35] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:23.817 DEBUG [Dummy-35] [_trace.py:47] - close.started api-1 | 2025-12-19 10:11:23.817 DEBUG [Dummy-35] [_trace.py:47] - close.complete nginx-1 | 192.168.45.167 - - [19/Dec/2025:02:11:23 +0000] "GET /console/api/workspaces/current/triggers HTTP/1.1" 200 3 "http://10.1.228.164/app/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflow" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36" "-" nginx-1 | 192.168.45.167 - - [19/Dec/2025:02:11:24 +0000] "GET /console/api/apps/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflows/draft HTTP/1.1" 200 6418 "http://10.1.228.164/app/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflow" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36" "-" nginx-1 | 192.168.45.167 - - [19/Dec/2025:02:11:29 +0000] "POST /console/api/apps/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflows/draft HTTP/1.1" 200 119 "http://10.1.228.164/app/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflow" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36" "-" api-1 | 2025-12-19 10:11:29.847 DEBUG [Thread-36 (_generate_worker)] [execution_limits.py:77] - Execution limits monitoring started api-1 | 2025-12-19 10:11:29.856 DEBUG [Thread-36 (_generate_worker)] [worker_pool.py:106] - Starting worker pool: 1 workers (nodes=4, min=1, max=10) api-1 | 2025-12-19 10:11:29.857 DEBUG [GraphDispatcher] [execution_limits.py:92] - Step 1 started: 1711528914102 api-1 | 2025-12-19 10:11:29.892 DEBUG [GraphDispatcher] [execution_limits.py:92] - Step 2 started: 1711528915811 api-1 | 2025-12-19 10:11:29.899 DEBUG [ThreadPoolExecutor-19_0] [_config.py:82] - load_ssl_context verify=True cert=None trust_env=True http2=False api-1 | 2025-12-19 10:11:29.899 DEBUG [ThreadPoolExecutor-19_0] [_config.py:148] - load_verify_locations cafile='/app/api/.venv/lib/python3.12/site-packages/certifi/cacert.pem' api-1 | 2025-12-19 10:11:29.924 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - connect_tcp.started host='plugin_daemon' port=5002 local_address=None timeout=300.0 socket_options=None api-1 | 2025-12-19 10:11:29.925 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7f71f45da0f0> api-1 | 2025-12-19 10:11:29.925 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:29.926 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:29.926 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:29.926 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:29.926 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:29.927 DEBUG [ThreadPoolExecutor-19_1] [_config.py:82] - load_ssl_context verify=True cert=None trust_env=True http2=False api-1 | 2025-12-19 10:11:29.928 DEBUG [ThreadPoolExecutor-19_1] [_config.py:148] - load_verify_locations cafile='/app/api/.venv/lib/python3.12/site-packages/certifi/cacert.pem' plugin_daemon-1 | [GIN] 2025/12/19 - 02:11:29 | 200 | 4.699467ms | 172.31.0.3 | GET "/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/management/models?page=1&page_size=256" api-1 | 2025-12-19 10:11:29.952 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - connect_tcp.started host='plugin_daemon' port=5002 local_address=None timeout=300.0 socket_options=None api-1 | 2025-12-19 10:11:29.953 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'Content-Type', b'application/json; charset=utf-8'), (b'Date', b'Fri, 19 Dec 2025 02:11:29 GMT'), (b'Transfer-Encoding', b'chunked')]) api-1 | 2025-12-19 10:11:29.953 INFO [ThreadPoolExecutor-19_0] [_client.py:1038] - HTTP Request: GET http://plugin_daemon:5002/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/management/models?page=1&page_size=256 "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:29.953 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:29.954 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:29.954 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:29.954 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:29.954 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - close.started api-1 | 2025-12-19 10:11:29.955 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - close.complete api-1 | 2025-12-19 10:11:29.963 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7f71ef547050> api-1 | 2025-12-19 10:11:29.963 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:29.964 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:29.964 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:29.964 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:29.964 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:29.968 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'Content-Type', b'application/json; charset=utf-8'), (b'Date', b'Fri, 19 Dec 2025 02:11:29 GMT'), (b'Transfer-Encoding', b'chunked')]) plugin_daemon-1 | [GIN] 2025/12/19 - 02:11:29 | 200 | 4.412833ms | 172.31.0.3 | GET "/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/management/models?page=1&page_size=256" api-1 | 2025-12-19 10:11:29.968 INFO [ThreadPoolExecutor-19_1] [_client.py:1038] - HTTP Request: GET http://plugin_daemon:5002/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/management/models?page=1&page_size=256 "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:29.968 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:29.969 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:29.969 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:29.969 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:29.970 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - close.started api-1 | 2025-12-19 10:11:29.970 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - close.complete api-1 | 2025-12-19 10:11:29.982 DEBUG [ThreadPoolExecutor-19_0] [_config.py:82] - load_ssl_context verify=True cert=None trust_env=False http2=False api-1 | 2025-12-19 10:11:29.983 DEBUG [ThreadPoolExecutor-19_0] [_config.py:148] - load_verify_locations cafile='/app/api/.venv/lib/python3.12/site-packages/certifi/cacert.pem' api-1 | 2025-12-19 10:11:30.007 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - connect_tcp.started host='10.1.228.244' port=50050 local_address=None timeout=5.0 socket_options=None api-1 | 2025-12-19 10:11:30.009 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7f71ef7e21b0> api-1 | 2025-12-19 10:11:30.009 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.009 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.010 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.010 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.010 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.011 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'access-control-allow-headers', b'Content-Type, Authorization, Batch, X-Openai-Api-Key, X-Openai-Organization, X-Openai-Baseurl, X-Anyscale-Baseurl, X-Anyscale-Api-Key, X-Cohere-Api-Key, X-Cohere-Baseurl, X-Huggingface-Api-Key, X-Azure-Api-Key, X-Azure-Deployment-Id, X-Azure-Resource-Name, X-Google-Api-Key, X-Google-Vertex-Api-Key, X-Google-Studio-Api-Key, X-Palm-Api-Key, X-Jinaai-Api-Key, X-Aws-Access-Key, X-Aws-Secret-Key, X-Voyageai-Baseurl, X-Voyageai-Api-Key, X-Mistral-Baseurl, X-Mistral-Api-Key, X-OctoAI-Api-Key, X-Anthropic-Baseurl, X-Anthropic-Api-Key, X-Databricks-Endpoint, X-Databricks-Token, X-Databricks-User-Agent, X-Friendli-Token, X-Friendli-Baseurl, X-Weaviate-Api-Key'), (b'access-control-allow-methods', b''), (b'access-control-allow-origin', b''), (b'content-type', b'application/json'), (b'vary', b'Origin'), (b'date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'content-length', b'64')]) api-1 | 2025-12-19 10:11:30.012 INFO [ThreadPoolExecutor-19_0] [_client.py:1038] - HTTP Request: GET http://10.1.228.244:50050/v1/meta "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.012 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.012 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:30.012 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:30.012 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:30.015 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.015 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.016 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.016 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.016 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.017 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'content-length', b'0')]) api-1 | 2025-12-19 10:11:30.017 INFO [ThreadPoolExecutor-19_0] [_client.py:1038] - HTTP Request: GET http://10.1.228.244:50050/v1/.well-known/ready "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.017 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.017 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:30.018 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:30.018 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:30.021 DEBUG [ThreadPoolExecutor-19_1] [_config.py:82] - load_ssl_context verify=True cert=None trust_env=False http2=False api-1 | 2025-12-19 10:11:30.022 DEBUG [ThreadPoolExecutor-19_1] [_config.py:148] - load_verify_locations cafile='/app/api/.venv/lib/python3.12/site-packages/certifi/cacert.pem' api-1 | 2025-12-19 10:11:30.045 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - connect_tcp.started host='10.1.228.244' port=50050 local_address=None timeout=5.0 socket_options=None api-1 | 2025-12-19 10:11:30.046 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.046 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.047 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.047 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.047 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.047 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7f71ef58f1a0> api-1 | 2025-12-19 10:11:30.048 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.048 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.048 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.048 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.048 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.049 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'access-control-allow-headers', b'Content-Type, Authorization, Batch, X-Openai-Api-Key, X-Openai-Organization, X-Openai-Baseurl, X-Anyscale-Baseurl, X-Anyscale-Api-Key, X-Cohere-Api-Key, X-Cohere-Baseurl, X-Huggingface-Api-Key, X-Azure-Api-Key, X-Azure-Deployment-Id, X-Azure-Resource-Name, X-Google-Api-Key, X-Google-Vertex-Api-Key, X-Google-Studio-Api-Key, X-Palm-Api-Key, X-Jinaai-Api-Key, X-Aws-Access-Key, X-Aws-Secret-Key, X-Voyageai-Baseurl, X-Voyageai-Api-Key, X-Mistral-Baseurl, X-Mistral-Api-Key, X-OctoAI-Api-Key, X-Anthropic-Baseurl, X-Anthropic-Api-Key, X-Databricks-Endpoint, X-Databricks-Token, X-Databricks-User-Agent, X-Friendli-Token, X-Friendli-Baseurl, X-Weaviate-Api-Key'), (b'access-control-allow-methods', b''), (b'access-control-allow-origin', b''), (b'content-type', b'application/json'), (b'vary', b'Origin'), (b'date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'transfer-encoding', b'chunked')]) api-1 | 2025-12-19 10:11:30.049 INFO [ThreadPoolExecutor-19_0] [_client.py:1038] - HTTP Request: GET http://10.1.228.244:50050/v1/schema/Vector_dify_prod_index_bb80576e_9c20_483c_af23_dc42a43f9b75_Node "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.049 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.050 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:30.050 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:30.050 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:30.050 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'access-control-allow-headers', b'Content-Type, Authorization, Batch, X-Openai-Api-Key, X-Openai-Organization, X-Openai-Baseurl, X-Anyscale-Baseurl, X-Anyscale-Api-Key, X-Cohere-Api-Key, X-Cohere-Baseurl, X-Huggingface-Api-Key, X-Azure-Api-Key, X-Azure-Deployment-Id, X-Azure-Resource-Name, X-Google-Api-Key, X-Google-Vertex-Api-Key, X-Google-Studio-Api-Key, X-Palm-Api-Key, X-Jinaai-Api-Key, X-Aws-Access-Key, X-Aws-Secret-Key, X-Voyageai-Baseurl, X-Voyageai-Api-Key, X-Mistral-Baseurl, X-Mistral-Api-Key, X-OctoAI-Api-Key, X-Anthropic-Baseurl, X-Anthropic-Api-Key, X-Databricks-Endpoint, X-Databricks-Token, X-Databricks-User-Agent, X-Friendli-Token, X-Friendli-Baseurl, X-Weaviate-Api-Key'), (b'access-control-allow-methods', b''), (b'access-control-allow-origin', b''), (b'content-type', b'application/json'), (b'vary', b'Origin'), (b'date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'content-length', b'64')]) api-1 | 2025-12-19 10:11:30.051 INFO [ThreadPoolExecutor-19_1] [_client.py:1038] - HTTP Request: GET http://10.1.228.244:50050/v1/meta "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.051 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.051 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:30.051 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:30.051 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:30.057 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - close.started api-1 | 2025-12-19 10:11:30.057 DEBUG [ThreadPoolExecutor-19_0] [_trace.py:47] - close.complete api-1 | 2025-12-19 10:11:30.059 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.059 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.059 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.059 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.059 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.060 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'content-length', b'0')]) api-1 | 2025-12-19 10:11:30.060 INFO [ThreadPoolExecutor-19_1] [_client.py:1038] - HTTP Request: GET http://10.1.228.244:50050/v1/.well-known/ready "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.060 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.060 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:30.060 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:30.061 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:30.061 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.061 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.062 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.062 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.062 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.064 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'access-control-allow-headers', b'Content-Type, Authorization, Batch, X-Openai-Api-Key, X-Openai-Organization, X-Openai-Baseurl, X-Anyscale-Baseurl, X-Anyscale-Api-Key, X-Cohere-Api-Key, X-Cohere-Baseurl, X-Huggingface-Api-Key, X-Azure-Api-Key, X-Azure-Deployment-Id, X-Azure-Resource-Name, X-Google-Api-Key, X-Google-Vertex-Api-Key, X-Google-Studio-Api-Key, X-Palm-Api-Key, X-Jinaai-Api-Key, X-Aws-Access-Key, X-Aws-Secret-Key, X-Voyageai-Baseurl, X-Voyageai-Api-Key, X-Mistral-Baseurl, X-Mistral-Api-Key, X-OctoAI-Api-Key, X-Anthropic-Baseurl, X-Anthropic-Api-Key, X-Databricks-Endpoint, X-Databricks-Token, X-Databricks-User-Agent, X-Friendli-Token, X-Friendli-Baseurl, X-Weaviate-Api-Key'), (b'access-control-allow-methods', b''), (b'access-control-allow-origin', b''), (b'content-type', b'application/json'), (b'vary', b'Origin'), (b'date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'transfer-encoding', b'chunked')]) api-1 | 2025-12-19 10:11:30.064 INFO [ThreadPoolExecutor-19_1] [_client.py:1038] - HTTP Request: GET http://10.1.228.244:50050/v1/schema/Vector_dify_prod_index_bb80576e_9c20_483c_af23_dc42a43f9b75_Node "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.064 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.064 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:30.064 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:30.064 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:30.069 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - close.started api-1 | 2025-12-19 10:11:30.069 DEBUG [ThreadPoolExecutor-19_1] [_trace.py:47] - close.complete api-1 | Exception in thread Thread-39 (_retriever): api-1 | Traceback (most recent call last): api-1 | File "/usr/local/lib/python3.12/threading.py", line 1075, in _bootstrap_inner api-1 | self.run() api-1 | File "/usr/local/lib/python3.12/threading.py", line 1012, in run api-1 | self._target(*self._args, **self._kwargs) api-1 | File "/app/api/core/rag/retrieval/dataset_retrieval.py", line 798, in _retriever api-1 | documents = RetrievalService.retrieve( api-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^ api-1 | File "/app/api/core/rag/datasource/retrieval_service.py", line 111, in retrieve api-1 | raise ValueError(";\n".join(exceptions)) api-1 | ValueError: Error parsing message; api-1 | Error parsing message api-1 | 2025-12-19 10:11:30.077 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_config.py:82] - load_ssl_context verify=True cert=None trust_env=True http2=False api-1 | 2025-12-19 10:11:30.078 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_config.py:148] - load_verify_locations cafile='/app/api/.venv/lib/python3.12/site-packages/certifi/cacert.pem' api-1 | 2025-12-19 10:11:30.102 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - connect_tcp.started host='plugin_daemon' port=5002 local_address=None timeout=300.0 socket_options=None api-1 | 2025-12-19 10:11:30.103 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7f71ef6dee10> api-1 | 2025-12-19 10:11:30.103 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.104 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.104 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.104 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.104 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.108 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'Content-Type', b'application/json; charset=utf-8'), (b'Date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'Transfer-Encoding', b'chunked')]) plugin_daemon-1 | [GIN] 2025/12/19 - 02:11:30 | 200 | 4.429265ms | 172.31.0.3 | GET "/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/management/models?page=1&page_size=256" api-1 | 2025-12-19 10:11:30.108 INFO [Thread-38 (_multiple_retrieve_thread)] [_client.py:1038] - HTTP Request: GET http://plugin_daemon:5002/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/management/models?page=1&page_size=256 "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.108 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.109 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:30.109 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:30.109 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:30.110 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - close.started api-1 | 2025-12-19 10:11:30.110 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - close.complete api-1 | 2025-12-19 10:11:30.141 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_config.py:82] - load_ssl_context verify=True cert=None trust_env=True http2=False api-1 | 2025-12-19 10:11:30.142 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_config.py:148] - load_verify_locations cafile='/app/api/.venv/lib/python3.12/site-packages/certifi/cacert.pem' api-1 | 2025-12-19 10:11:30.167 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - connect_tcp.started host='plugin_daemon' port=5002 local_address=None timeout=300.0 socket_options=None api-1 | 2025-12-19 10:11:30.168 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7f71ef63be30> api-1 | 2025-12-19 10:11:30.168 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_headers.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.168 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.168 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_body.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.169 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.169 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_headers.started request=<Request [b'POST']> plugin_daemon-1 | [GIN] 2025/12/19 - 02:11:30 | 200 | 2.711506ms | 172.31.0.3 | POST "/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/dispatch/model/schema" api-1 | 2025-12-19 10:11:30.171 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'Content-Type', b'text/event-stream'), (b'Date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'Transfer-Encoding', b'chunked')]) api-1 | 2025-12-19 10:11:30.171 INFO [Thread-38 (_multiple_retrieve_thread)] [_client.py:1038] - HTTP Request: POST http://plugin_daemon:5002/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/dispatch/model/schema "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.172 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_body.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.173 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_body.failed exception=GeneratorExit() api-1 | 2025-12-19 10:11:30.173 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:30.174 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:30.174 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_config.py:82] - load_ssl_context verify=True cert=None trust_env=True http2=False api-1 | 2025-12-19 10:11:30.175 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_config.py:148] - load_verify_locations cafile='/app/api/.venv/lib/python3.12/site-packages/certifi/cacert.pem' api-1 | 2025-12-19 10:11:30.198 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - connect_tcp.started host='plugin_daemon' port=5002 local_address=None timeout=300.0 socket_options=None api-1 | 2025-12-19 10:11:30.199 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7f71ef7e3b00> api-1 | 2025-12-19 10:11:30.199 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_headers.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.200 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.200 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_body.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.200 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.200 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_headers.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.202 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'Content-Type', b'text/event-stream'), (b'Date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'Transfer-Encoding', b'chunked')]) plugin_daemon-1 | [GIN] 2025/12/19 - 02:11:30 | 200 | 2.445663ms | 172.31.0.3 | POST "/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/dispatch/rerank/invoke" api-1 | 2025-12-19 10:11:30.202 INFO [Thread-38 (_multiple_retrieve_thread)] [_client.py:1038] - HTTP Request: POST http://plugin_daemon:5002/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/dispatch/rerank/invoke "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.202 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_body.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.204 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - receive_response_body.failed exception=GeneratorExit() api-1 | 2025-12-19 10:11:30.204 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:30.204 DEBUG [Thread-38 (_multiple_retrieve_thread)] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:30.223 DEBUG [GraphWorker-0] [_config.py:82] - load_ssl_context verify=True cert=None trust_env=True http2=False api-1 | 2025-12-19 10:11:30.224 DEBUG [GraphWorker-0] [_config.py:148] - load_verify_locations cafile='/app/api/.venv/lib/python3.12/site-packages/certifi/cacert.pem' api-1 | 2025-12-19 10:11:30.247 DEBUG [GraphWorker-0] [_trace.py:47] - connect_tcp.started host='plugin_daemon' port=5002 local_address=None timeout=300.0 socket_options=None api-1 | 2025-12-19 10:11:30.249 DEBUG [GraphWorker-0] [_trace.py:47] - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7f71ef661310> api-1 | 2025-12-19 10:11:30.249 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_headers.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.249 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.250 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.250 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.250 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_headers.started request=<Request [b'GET']> plugin_daemon-1 | [GIN] 2025/12/19 - 02:11:30 | 200 | 4.370461ms | 172.31.0.3 | GET "/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/management/models?page=1&page_size=256" api-1 | 2025-12-19 10:11:30.254 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'Content-Type', b'application/json; charset=utf-8'), (b'Date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'Transfer-Encoding', b'chunked')]) api-1 | 2025-12-19 10:11:30.254 INFO [GraphWorker-0] [_client.py:1038] - HTTP Request: GET http://plugin_daemon:5002/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/management/models?page=1&page_size=256 "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.255 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_body.started request=<Request [b'GET']> api-1 | 2025-12-19 10:11:30.255 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:30.255 DEBUG [GraphWorker-0] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:30.255 DEBUG [GraphWorker-0] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:30.256 DEBUG [GraphWorker-0] [_trace.py:47] - close.started api-1 | 2025-12-19 10:11:30.256 DEBUG [GraphWorker-0] [_trace.py:47] - close.complete api-1 | 2025-12-19 10:11:30.269 DEBUG [GraphDispatcher] [execution_limits.py:92] - Step 3 started: 1711528917469 api-1 | 2025-12-19 10:11:30.277 DEBUG [GraphWorker-0] [_config.py:82] - load_ssl_context verify=True cert=None trust_env=True http2=False api-1 | 2025-12-19 10:11:30.278 DEBUG [GraphWorker-0] [_config.py:148] - load_verify_locations cafile='/app/api/.venv/lib/python3.12/site-packages/certifi/cacert.pem' api-1 | 2025-12-19 10:11:30.301 DEBUG [GraphWorker-0] [_trace.py:47] - connect_tcp.started host='plugin_daemon' port=5002 local_address=None timeout=300.0 socket_options=None api-1 | 2025-12-19 10:11:30.302 DEBUG [GraphWorker-0] [_trace.py:47] - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7f71ef6de9f0> api-1 | 2025-12-19 10:11:30.302 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_headers.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.303 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.303 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_body.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.303 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.303 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_headers.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.306 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'Content-Type', b'text/event-stream'), (b'Date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'Transfer-Encoding', b'chunked')]) plugin_daemon-1 | [GIN] 2025/12/19 - 02:11:30 | 200 | 3.027666ms | 172.31.0.3 | POST "/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/dispatch/model/schema" api-1 | 2025-12-19 10:11:30.306 INFO [GraphWorker-0] [_client.py:1038] - HTTP Request: POST http://plugin_daemon:5002/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/dispatch/model/schema "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.306 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_body.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.308 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_body.failed exception=GeneratorExit() api-1 | 2025-12-19 10:11:30.308 DEBUG [GraphWorker-0] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:30.308 DEBUG [GraphWorker-0] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:30.327 DEBUG [GraphWorker-0] [_config.py:82] - load_ssl_context verify=True cert=None trust_env=True http2=False api-1 | 2025-12-19 10:11:30.328 DEBUG [GraphWorker-0] [_config.py:148] - load_verify_locations cafile='/app/api/.venv/lib/python3.12/site-packages/certifi/cacert.pem' api-1 | 2025-12-19 10:11:30.352 DEBUG [GraphWorker-0] [_trace.py:47] - connect_tcp.started host='plugin_daemon' port=5002 local_address=None timeout=300.0 socket_options=None api-1 | 2025-12-19 10:11:30.353 DEBUG [GraphWorker-0] [_trace.py:47] - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7f71ef547890> api-1 | 2025-12-19 10:11:30.353 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_headers.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.354 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_headers.complete api-1 | 2025-12-19 10:11:30.354 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_body.started request=<Request [b'POST']> api-1 | 2025-12-19 10:11:30.354 DEBUG [GraphWorker-0] [_trace.py:47] - send_request_body.complete api-1 | 2025-12-19 10:11:30.354 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_headers.started request=<Request [b'POST']> worker_beat-1 | 2025-12-19 10:11:30.411 INFO [MainThread] [beat.py:279] - Scheduler: Sending due task workflow_schedule_task (schedule.workflow_schedule_task.poll_workflow_schedules) worker_beat-1 | 2025-12-19 10:11:30.413 DEBUG [MainThread] [beat.py:287] - schedule.workflow_schedule_task.poll_workflow_schedules sent. id->6c5cc1d1-f02f-4970-972b-545778fa8b51 worker_beat-1 | 2025-12-19 10:11:30.414 DEBUG [MainThread] [beat.py:646] - beat: Waking up now. worker_beat-1 | 2025-12-19 10:11:30.429 INFO [MainThread] [beat.py:279] - Scheduler: Sending due task trigger_provider_refresh (schedule.trigger_provider_refresh_task.trigger_provider_refresh) worker_beat-1 | 2025-12-19 10:11:30.431 DEBUG [MainThread] [beat.py:287] - schedule.trigger_provider_refresh_task.trigger_provider_refresh sent. id->e19cabe8-7776-44a6-bad6-8d0ab3df8847 worker_beat-1 | 2025-12-19 10:11:30.431 DEBUG [MainThread] [beat.py:646] - beat: Waking up in 59.97 seconds. api-1 | 2025-12-19 10:11:30.447 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'Content-Type', b'text/event-stream'), (b'Date', b'Fri, 19 Dec 2025 02:11:30 GMT'), (b'Transfer-Encoding', b'chunked')]) api-1 | 2025-12-19 10:11:30.448 INFO [GraphWorker-0] [_client.py:1038] - HTTP Request: POST http://plugin_daemon:5002/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/dispatch/llm/invoke "HTTP/1.1 200 OK" api-1 | 2025-12-19 10:11:30.448 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_body.started request=<Request [b'POST']> plugin_daemon-1 | [GIN] 2025/12/19 - 02:11:35 | 200 | 4.96387931s | 172.31.0.3 | POST "/plugin/cc94c3ec-7b29-41e2-898c-d7c7b03b59d6/dispatch/llm/invoke" api-1 | 2025-12-19 10:11:35.318 DEBUG [GraphWorker-0] [_trace.py:47] - receive_response_body.complete api-1 | 2025-12-19 10:11:35.318 DEBUG [GraphWorker-0] [_trace.py:47] - response_closed.started api-1 | 2025-12-19 10:11:35.318 DEBUG [GraphWorker-0] [_trace.py:47] - response_closed.complete api-1 | 2025-12-19 10:11:35.319 DEBUG [GraphWorker-0] [_trace.py:47] - close.started api-1 | 2025-12-19 10:11:35.320 DEBUG [GraphWorker-0] [_trace.py:47] - close.complete api-1 | 2025-12-19 10:11:35.327 DEBUG [Dummy-37] [workflow_draft_variable_service.py:905] - Skip saving variable as it has been excluded by its node_type, name=finish_reason, node_type=llm api-1 | 2025-12-19 10:11:35.341 DEBUG [GraphDispatcher] [execution_limits.py:92] - Step 4 started: 1711528919501 api-1 | 2025-12-19 10:11:35.366 DEBUG [Thread-36 (_generate_worker)] [worker_pool.py:125] - Stopping worker pool: 1 workers nginx-1 | 192.168.45.167 - - [19/Dec/2025:02:11:35 +0000] "POST /console/api/apps/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/advanced-chat/workflows/draft/run HTTP/1.1" 200 39631 "http://10.1.228.164/app/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflow" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36" "-" api-1 | 2025-12-19 10:11:35.424 DEBUG [Thread-36 (_generate_worker)] [execution_limits.py:110] - Execution completed: 4 steps in 5.58 seconds nginx-1 | 192.168.45.167 - - [19/Dec/2025:02:11:35 +0000] "GET /console/api/apps/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflows/draft/system-variables HTTP/1.1" 200 2094 "http://10.1.228.164/app/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflow" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36" "-" nginx-1 | 192.168.45.167 - - [19/Dec/2025:02:11:35 +0000] "GET /console/api/apps/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflows/draft/variables?page=1&limit=100 HTTP/1.1" 200 3091 "http://10.1.228.164/app/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflow" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36" "-" nginx-1 | 192.168.45.167 - - [19/Dec/2025:02:11:35 +0000] "GET /console/api/apps/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflows/draft/conversation-variables HTTP/1.1" 200 13 "http://10.1.228.164/app/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflow" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36" "-" sandbox-1 | [GIN] 2025/12/19 - 02:11:36 | 200 | 27.014µs | ::1 | GET "/health" nginx-1 | 192.168.45.167 - - [19/Dec/2025:02:11:37 +0000] "POST /console/api/apps/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflows/draft HTTP/1.1" 200 119 "http://10.1.228.164/app/ac6ce6a3-2093-4172-8e3a-7a3a6c97538a/workflow" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36" "-"

Dec 19 '25 02:12 gavinage

我新建了一个知识库使用很简单的文本进行测试，就是刚好卡在100个文档的时候是可以进行过滤的，101个文档就无法过滤

Dec 19 '25 04:12 gavinage

I encountered the same issue. After some testing, it turns out that the problem isn't related to the number of documents exceeding 100, but rather arises when the filtered results exceed 100. For example, if the metadata contains a field called "status," and the filtered result set exceeds 100 when "status" equals 1, while it remains under 100 when "status" equals 2, the issue won't occur.Has the new version solved this problem?

Dec 22 '25 03:12 meddieCzl

@fatelei I upgraded to version 1.11.2, but the same issue persists—just the line numbers reporting errors have changed。The result of metadata status=2 in my document exceeds 100, and it is normal when the status is equal to others and less than 100.

Dec 26 '25 10:12 meddieCzl

i test with 150 document, per document has 10000 chinese character, work well

Dec 26 '25 12:12 fatelei

you can attach the dify api docker, modify the code below and restart the dify api docker, to the see the debug log

@classmethod
def keyword_search(
        cls,
        flask_app: Flask,
        dataset_id: str,
        query: str,
        top_k: int,
        all_documents: list,
        exceptions: list,
        document_ids_filter: list[str] | None = None,
    ):
        with flask_app.app_context():
            try:
                dataset = cls._get_dataset(dataset_id)
                if not dataset:
                    raise ValueError("dataset not found")

                keyword = Keyword(dataset=dataset)

                documents = keyword.search(
                    cls.escape_query_for_search(query), top_k=top_k, document_ids_filter=document_ids_filter
                )
                all_documents.extend(documents)
            except Exception as e:
                logger.error(e, exc_info=True)  # add debug log
                exceptions.append(str(e))

            try:
                dataset = cls._get_dataset(dataset_id)
                if not dataset:
                    raise ValueError("dataset not found")

                vector = Vector(dataset=dataset)
                documents = []
                if query_type == QueryType.TEXT_QUERY:
                    documents.extend(
                        vector.search_by_vector(
                            query,
                            search_type="similarity_score_threshold",
                            top_k=top_k,
                            score_threshold=score_threshold,
                            filter={"group_id": [dataset.id]},
                            document_ids_filter=document_ids_filter,
                        )
                    )
                if query_type == QueryType.IMAGE_QUERY:
                    if not dataset.is_multimodal:
                        return
                    documents.extend(
                        vector.search_by_file(
                            file_id=query,
                            top_k=top_k,
                            score_threshold=score_threshold,
                            filter={"group_id": [dataset.id]},
                            document_ids_filter=document_ids_filter,
                        )
                    )

                if documents:
                    if (
                        reranking_model
                        and reranking_model.get("reranking_model_name")
                        and reranking_model.get("reranking_provider_name")
                        and retrieval_method == RetrievalMethod.SEMANTIC_SEARCH
                    ):
                        data_post_processor = DataPostProcessor(
                            str(dataset.tenant_id), str(RerankMode.RERANKING_MODEL), reranking_model, None, False
                        )
                        if dataset.is_multimodal:
                            model_manager = ModelManager()
                            is_support_vision = model_manager.check_model_support_vision(
                                tenant_id=dataset.tenant_id,
                                provider=reranking_model.get("reranking_provider_name") or "",
                                model=reranking_model.get("reranking_model_name") or "",
                                model_type=ModelType.RERANK,
                            )
                            if is_support_vision:
                                all_documents.extend(
                                    data_post_processor.invoke(
                                        query=query,
                                        documents=documents,
                                        score_threshold=score_threshold,
                                        top_n=len(documents),
                                        query_type=query_type,
                                    )
                                )
                            else:
                                # not effective, return original documents
                                all_documents.extend(documents)
                        else:
                            all_documents.extend(
                                data_post_processor.invoke(
                                    query=query,
                                    documents=documents,
                                    score_threshold=score_threshold,
                                    top_n=len(documents),
                                    query_type=query_type,
                                )
                            )
                    else:
                        all_documents.extend(documents)
            except Exception as e:
                logger.error(e, exc_info=True)  # add debug log
                exceptions.append(str(e))

Dec 26 '25 13:12 fatelei

@fatelei

you can attach the dify api docker, modify the code below and restart the dify api docker, to the see the debug log

@classmethod def keyword_search( cls, flask_app: Flask, dataset_id: str, query: str, top_k: int, all_documents: list, exceptions: list, document_ids_filter: list[str] | None = None, ): with flask_app.app_context(): try: dataset = cls._get_dataset(dataset_id) if not dataset: raise ValueError("dataset not found")

            keyword = Keyword(dataset=dataset)

            documents = keyword.search(
                cls.escape_query_for_search(query), top_k=top_k, document_ids_filter=document_ids_filter
            )
            all_documents.extend(documents)
        except Exception as e:
            logger.error(e, exc_info=True)  # add debug log
            exceptions.append(str(e))
        try:
            dataset = cls._get_dataset(dataset_id)
            if not dataset:
                raise ValueError("dataset not found")

            vector = Vector(dataset=dataset)
            documents = []
            if query_type == QueryType.TEXT_QUERY:
                documents.extend(
                    vector.search_by_vector(
                        query,
                        search_type="similarity_score_threshold",
                        top_k=top_k,
                        score_threshold=score_threshold,
                        filter={"group_id": [dataset.id]},
                        document_ids_filter=document_ids_filter,
                    )
                )
            if query_type == QueryType.IMAGE_QUERY:
                if not dataset.is_multimodal:
                    return
                documents.extend(
                    vector.search_by_file(
                        file_id=query,
                        top_k=top_k,
                        score_threshold=score_threshold,
                        filter={"group_id": [dataset.id]},
                        document_ids_filter=document_ids_filter,
                    )
                )

            if documents:
                if (
                    reranking_model
                    and reranking_model.get("reranking_model_name")
                    and reranking_model.get("reranking_provider_name")
                    and retrieval_method == RetrievalMethod.SEMANTIC_SEARCH
                ):
                    data_post_processor = DataPostProcessor(
                        str(dataset.tenant_id), str(RerankMode.RERANKING_MODEL), reranking_model, None, False
                    )
                    if dataset.is_multimodal:
                        model_manager = ModelManager()
                        is_support_vision = model_manager.check_model_support_vision(
                            tenant_id=dataset.tenant_id,
                            provider=reranking_model.get("reranking_provider_name") or "",
                            model=reranking_model.get("reranking_model_name") or "",
                            model_type=ModelType.RERANK,
                        )
                        if is_support_vision:
                            all_documents.extend(
                                data_post_processor.invoke(
                                    query=query,
                                    documents=documents,
                                    score_threshold=score_threshold,
                                    top_n=len(documents),
                                    query_type=query_type,
                                )
                            )
                        else:
                            # not effective, return original documents
                            all_documents.extend(documents)
                    else:
                        all_documents.extend(
                            data_post_processor.invoke(
                                query=query,
                                documents=documents,
                                score_threshold=score_threshold,
                                top_n=len(documents),
                                query_type=query_type,
                            )
                        )
                else:
                    all_documents.extend(documents)
        except Exception as e:
            logger.error(e, exc_info=True)  # add debug log
            exceptions.append(str(e))

I have added log printing, and the error is as shown in the image below. This is for testing purposes. I created a new knowledge base containing 101 documents, all with a metadata status of status=2. If I change one of them to status=1, there are no errors, and it can be queried normally.

Dec 30 '25 04:12 meddieCzl

@fatelei

you can attach the dify api docker, modify the code below and restart the dify api docker, to the see the debug log @classmethod def keyword_search( cls, flask_app: Flask, dataset_id: str, query: str, top_k: int, all_documents: list, exceptions: list, document_ids_filter: list[str] | None = None, ): with flask_app.app_context(): try: dataset = cls._get_dataset(dataset_id) if not dataset: raise ValueError("dataset not found")

            keyword = Keyword(dataset=dataset)

            documents = keyword.search(
                cls.escape_query_for_search(query), top_k=top_k, document_ids_filter=document_ids_filter
            )
            all_documents.extend(documents)
        except Exception as e:
            logger.error(e, exc_info=True)  # add debug log
            exceptions.append(str(e))
        try:
            dataset = cls._get_dataset(dataset_id)
            if not dataset:
                raise ValueError("dataset not found")

            vector = Vector(dataset=dataset)
            documents = []
            if query_type == QueryType.TEXT_QUERY:
                documents.extend(
                    vector.search_by_vector(
                        query,
                        search_type="similarity_score_threshold",
                        top_k=top_k,
                        score_threshold=score_threshold,
                        filter={"group_id": [dataset.id]},
                        document_ids_filter=document_ids_filter,
                    )
                )
            if query_type == QueryType.IMAGE_QUERY:
                if not dataset.is_multimodal:
                    return
                documents.extend(
                    vector.search_by_file(
                        file_id=query,
                        top_k=top_k,
                        score_threshold=score_threshold,
                        filter={"group_id": [dataset.id]},
                        document_ids_filter=document_ids_filter,
                    )
                )

            if documents:
                if (
                    reranking_model
                    and reranking_model.get("reranking_model_name")
                    and reranking_model.get("reranking_provider_name")
                    and retrieval_method == RetrievalMethod.SEMANTIC_SEARCH
                ):
                    data_post_processor = DataPostProcessor(
                        str(dataset.tenant_id), str(RerankMode.RERANKING_MODEL), reranking_model, None, False
                    )
                    if dataset.is_multimodal:
                        model_manager = ModelManager()
                        is_support_vision = model_manager.check_model_support_vision(
                            tenant_id=dataset.tenant_id,
                            provider=reranking_model.get("reranking_provider_name") or "",
                            model=reranking_model.get("reranking_model_name") or "",
                            model_type=ModelType.RERANK,
                        )
                        if is_support_vision:
                            all_documents.extend(
                                data_post_processor.invoke(
                                    query=query,
                                    documents=documents,
                                    score_threshold=score_threshold,
                                    top_n=len(documents),
                                    query_type=query_type,
                                )
                            )
                        else:
                            # not effective, return original documents
                            all_documents.extend(documents)
                    else:
                        all_documents.extend(
                            data_post_processor.invoke(
                                query=query,
                                documents=documents,
                                score_threshold=score_threshold,
                                top_n=len(documents),
                                query_type=query_type,
                            )
                        )
                else:
                    all_documents.extend(documents)
        except Exception as e:
            logger.error(e, exc_info=True)  # add debug log
            exceptions.append(str(e))

I have added log printing, and the error is as shown in the image below. This is for testing purposes. I created a new knowledge base containing 101 documents, all with a metadata status of status=2. If I change one of them to status=1, there are no errors, and it can be queried normally.

the reason is here

Dec 30 '25 05:12 fatelei

maybe param is not valid, lead weaviate return error

Dec 30 '25 05:12 fatelei

query_vector maybe invalid， i will submit a pr to fix it

Dec 30 '25 06:12 fatelei

@fatelei

you can attach the dify api docker, modify the code below and restart the dify api docker, to the see the debug log @classmethod def keyword_search( cls, flask_app: Flask, dataset_id: str, query: str, top_k: int, all_documents: list, exceptions: list, document_ids_filter: list[str] | None = None, ): with flask_app.app_context(): try: dataset = cls._get_dataset(dataset_id) if not dataset: raise ValueError("dataset not found")

            keyword = Keyword(dataset=dataset)

            documents = keyword.search(
                cls.escape_query_for_search(query), top_k=top_k, document_ids_filter=document_ids_filter
            )
            all_documents.extend(documents)
        except Exception as e:
            logger.error(e, exc_info=True)  # add debug log
            exceptions.append(str(e))
        try:
            dataset = cls._get_dataset(dataset_id)
            if not dataset:
                raise ValueError("dataset not found")

            vector = Vector(dataset=dataset)
            documents = []
            if query_type == QueryType.TEXT_QUERY:
                documents.extend(
                    vector.search_by_vector(
                        query,
                        search_type="similarity_score_threshold",
                        top_k=top_k,
                        score_threshold=score_threshold,
                        filter={"group_id": [dataset.id]},
                        document_ids_filter=document_ids_filter,
                    )
                )
            if query_type == QueryType.IMAGE_QUERY:
                if not dataset.is_multimodal:
                    return
                documents.extend(
                    vector.search_by_file(
                        file_id=query,
                        top_k=top_k,
                        score_threshold=score_threshold,
                        filter={"group_id": [dataset.id]},
                        document_ids_filter=document_ids_filter,
                    )
                )

            if documents:
                if (
                    reranking_model
                    and reranking_model.get("reranking_model_name")
                    and reranking_model.get("reranking_provider_name")
                    and retrieval_method == RetrievalMethod.SEMANTIC_SEARCH
                ):
                    data_post_processor = DataPostProcessor(
                        str(dataset.tenant_id), str(RerankMode.RERANKING_MODEL), reranking_model, None, False
                    )
                    if dataset.is_multimodal:
                        model_manager = ModelManager()
                        is_support_vision = model_manager.check_model_support_vision(
                            tenant_id=dataset.tenant_id,
                            provider=reranking_model.get("reranking_provider_name") or "",
                            model=reranking_model.get("reranking_model_name") or "",
                            model_type=ModelType.RERANK,
                        )
                        if is_support_vision:
                            all_documents.extend(
                                data_post_processor.invoke(
                                    query=query,
                                    documents=documents,
                                    score_threshold=score_threshold,
                                    top_n=len(documents),
                                    query_type=query_type,
                                )
                            )
                        else:
                            # not effective, return original documents
                            all_documents.extend(documents)
                    else:
                        all_documents.extend(
                            data_post_processor.invoke(
                                query=query,
                                documents=documents,
                                score_threshold=score_threshold,
                                top_n=len(documents),
                                query_type=query_type,
                            )
                        )
                else:
                    all_documents.extend(documents)
        except Exception as e:
            logger.error(e, exc_info=True)  # add debug log
            exceptions.append(str(e))

I have added log printing, and the error is as shown in the image below. This is for testing purposes. I created a new knowledge base containing 101 documents, all with a metadata status of status=2. If I change one of them to status=1, there are no errors, and it can be queried normally.



def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
        """
        Performs vector similarity search using the provided query vector.

        Filters by document IDs if provided and applies score threshold.
        Returns documents sorted by relevance score.
        """
        if not self._client.collections.exists(self._collection_name):
            return []

        col = self._client.collections.use(self._collection_name)
        props = list({*self._attributes, "document_id", Field.TEXT_KEY.value})

        where = None
        doc_ids = kwargs.get("document_ids_filter") or []
        if doc_ids:
            ors = [Filter.by_property("document_id").equal(x) for x in doc_ids]
            where = ors[0]
            for f in ors[1:]:
                where = where | f

        top_k = int(kwargs.get("top_k", 4))
        score_threshold = float(kwargs.get("score_threshold") or 0.0)

        # Sanitize query_vector to remove NaN/Infinity values that cannot be serialized by protobuf
        # add a log
        logger.info(query_vector)

please add log to log query_vector to inspect what vector is

Dec 30 '25 06:12 fatelei

@fatelei I copied the code and tried, but there were still issues.

2025-12-30 11:04:34.251 INFO [ThreadPoolExecutor-1_0] [_client.py:1038] - HTTP Request: GET [http://weaviate:8080/v1/schema/Vector_index_859f7a62_ba64_4d35_9ce3_930881adc4b8_Node⁠](http://weaviate:8080/v1/schema/Vector_index_859f7a62_ba64_4d35_9ce3_930881adc4b8_Node) "HTTP/1.1 200 OK"

2025-12-30 11:04:34.276 INFO [ThreadPoolExecutor-1_0] [weaviate_vector.py:389] - [-0.016033264663999396, 0.027434697396738747, 0.013895495793780141, 0.018646091834432357, 0.0002486640420619094, -0.016033264663999396, 0.02102139078608098, 0.024228044091409863, -0.010688842488451257, 0.006442996706683299, -0.024465574172839226, -0.025771986826733196, 0.05273162592325824, -0.021258920867510342, 0.01995250635097135, 0.018408561753002994, -0.02482186836366076, -0.0058491724344323995, 0.007066512937604753, 0.024346808200802032, 0.01817103353421865, -0.0035035652086237057, 0.01638955885482093, -0.031591469165140065, -0.028266051750419012, 0.019714976269541985, -0.012767229303974427, -0.001113421092547006, -0.006769600335818047, 0.007036821444595454, -0.022209039330582776, -0.00783848430526642, 0.006947747896890071, 0.013717348698369373, 0.018052267562181458, 0.019714976269541985, -0.0245843382822314, -0.002019003596673946, 0.008907368740376048, -0.009679341039360226, -0.007304042553372861, 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2025-12-30 11:04:34.398 ERROR [ThreadPoolExecutor-1_0] [retrieval_service.py:310] - Error parsing message

Traceback (most recent call last):

File "/app/api/core/rag/datasource/retrieval_service.py", line 244, in embedding_search

vector.search_by_vector(

File "/app/api/core/rag/datasource/vdb/vector_factory.py", line 273, in search_by_vector

return self._vector_processor.search_by_vector(query_vector, **kwargs)

       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/app/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py", line 391, in search_by_vector

res = col.query.near_vector(

      ^^^^^^^^^^^^^^^^^^^^^^

File "/app/api/.venv/lib/python3.12/site-packages/weaviate/collections/queries/near_vector/query/executor.py", line 376, in near_vector

request = self._query.near_vector(

          ^^^^^^^^^^^^^^^^^^^^^^^^

File "/app/api/.venv/lib/python3.12/site-packages/weaviate/collections/grpc/query.py", line 266, in near_vector

return self.__create_request(

       ^^^^^^^^^^^^^^^^^^^^^^

File "/app/api/.venv/lib/python3.12/site-packages/weaviate/collections/grpc/query.py", line 473, in __create_request

return search_get_pb2.SearchRequest(

       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

google.protobuf.message.DecodeError: Error parsing message

Exception in thread Thread-6 (_retriever):

Traceback (most recent call last):

File "/usr/local/lib/python3.12/threading.py", line 1075, in _bootstrap_inner

self.run()

File "/usr/local/lib/python3.12/threading.py", line 1012, in run

self._target(*self._args, **self._kwargs)

File "/app/api/core/rag/retrieval/dataset_retrieval.py", line 801, in _retriever

documents = RetrievalService.retrieve(

            ^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/app/api/core/rag/datasource/retrieval_service.py", line 115, in retrieve

raise ValueError(";\n".join(exceptions))

ValueError: Error parsing message

2025-12-30 11:04:35.111 INFO [GraphWorker-0] [_client.py:1038] - HTTP Request: GET http://plugin_daemon:5002/plugin/ea73d443-7cfe-47ac-af34-3471c5fef849/management/models?page=1&page_size=256⁠ "HTTP/1.1 200 OK"

Dec 30 '25 11:12 meddieCzl

the vector is right, please check the weaviate log, maybe there is a error log

Dec 30 '25 11:12 fatelei

weaviate client in dify is weaviate-client==4.17.0, the weaviate server version should >= 1.27.0

Dec 30 '25 12:12 fatelei

@fatelei weaviate-client==4.17.0 and the weaviate server version should == 1.27.0,Then LOG_LEVEL: debug has logs, but when the log level is error, there are no logs.

Dec 31 '25 03:12 meddieCzl

modify docker compose file

weaviate: 
    image: semitechnologies/weaviate:1.27.0
    profiles:
      - weaviate
    restart: always
    volumes:
      # Mount the Weaviate data directory to the con tainer.
      - ./volumes/weaviate:/var/lib/weaviate
    environment:
      # The Weaviate configurations
      # You can refer to the [Weaviate](https://weaviate.io/developers/weaviate/config-refs/env-vars ) documentation for more information.
      PERSISTENCE_DATA_PATH: ${WEAVIATE_PERSISTENCE_DATA_PATH:-/var/lib/weaviate}
      QUERY_DEFAULTS_LIMIT: ${WEAVIATE_QUERY_DEFAULTS_LIMIT:-25}
      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: ${WEAVIATE_AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED:-false}
      DEFAULT_VECTORIZER_MODULE: ${WEAVIATE_DEFAULT_VECTORIZER_MODULE:-none}
      CLUSTER_HOSTNAME: ${WEAVIATE_CLUSTER_HOSTNAME:-node1}
      AUTHENTICATION_APIKEY_ENABLED: ${WEAVIATE_AUTHENTICATION_APIKEY_ENABLED:-true}
      AUTHENTICATION_APIKEY_ALLOWED_KEYS: ${WEAVIATE_AUTHENTICATION_APIKEY_ALLOWED_KEYS:-WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih}
      AUTHENTICATION_APIKEY_USERS: ${WEAVIATE_AUTHENTICATION_APIKEY_USERS:[email protected]}
      AUTHORIZATION_ADMINLIST_ENABLED: ${WEAVIATE_AUTHORIZATION_ADMINLIST_ENABLED:-true}
      AUTHORIZATION_ADMINLIST_USERS: ${WEAVIATE_AUTHORIZATION_ADMINLIST_USERS:[email protected]}
      DISABLE_TELEMETRY: ${WEAVIATE_DISABLE_TELEMETRY:-false}
      ENABLE_TOKENIZER_GSE: ${WEAVIATE_ENABLE_TOKENIZER_GSE:-false}
      ENABLE_TOKENIZER_KAGOME_JA: ${WEAVIATE_ENABLE_TOKENIZER_KAGOME_JA:-false}
      ENABLE_TOKENIZER_KAGOME_KR: ${WEAVIATE_ENABLE_TOKENIZER_KAGOME_KR:-false}
      LOG_LEVEL=debug

docker compose up -d

Dec 31 '25 08:12 fatelei

@fatelei I set LOG_LEVEL=debug, and the printed log only contains the following content.

Dec 31 '25 09:12 meddieCzl