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Caused by: pemja.core.PythonException: : invalid vectorizer config: ollama not in acceptable choices for type: ['bge_vectorize_model', 'bge', 'bge_m3', 'openai', 'azure_openai', 'mock']. You should make sure the class is correctly registerd. at...
https://dev.to/gaodalie_ai/kag-graph-multimodal-rag-llm-agents-powerful-ai-reasoning-57ko
KAG\kag\examples\csqa\kag_config.yaml #------------project configuration start----------------# openie_llm: &openie_llm base_url: http://localhost:11434/ model: llama3.2:latest type: openai [llm] type = ollama base_url = http://host.docker.internal:11434/v1 model = llama3.2:latest [vectorizer] vectorizer = kag.common.vectorizer.OpenAIVectorizer model = bge-m3:latest api_key...
(kag-demo) C:\Users\TARGET STORE\Desktop\6\KAG\kag\examples\csqa>knext project create --config_path ./kag_config.yaml Traceback (most recent call last): File "C:\ProgramData\anaconda3\envs\kag-demo\Scripts\knext-script.py", line 33, in sys.exit(load_entry_point('openspg-kag', 'console_scripts', 'knext')()) File "C:\ProgramData\anaconda3\envs\kag-demo\Scripts\knext-script.py", line 25, in importlib_load_entry_point return next(matches).load() File "C:\ProgramData\anaconda3\envs\kag-demo\lib\importlib\metadata\__init__.py",...
at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:78) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:360) at org.apache.coyote.http11.Http11Processor.service(Http11Processor.java:399) at org.apache.coyote.AbstractProcessorLight.process(AbstractProcessorLight.java:65) at org.apache.coyote.AbstractProtocol$ConnectionHandler.process(AbstractProtocol.java:891) at org.apache.tomcat.util.net.NioEndpoint$SocketProcessor.doRun(NioEndpoint.java:1784) at org.apache.tomcat.util.net.SocketProcessorBase.run(SocketProcessorBase.java:49) at org.apache.tomcat.util.threads.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1191) at org.apache.tomcat.util.threads.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:659) at org.apache.tomcat.util.threads.TaskThread$WrappingRunnable.run(TaskThread.java:61) at java.lang.Thread.run(Thread.java:750) Caused by: java.util.concurrent.ExecutionException: pemja.core.PythonException: : invalid llm config:...
Caused by: java.util.concurrent.ExecutionException: pemja.core.PythonException: : invalid llm config: {'__customParamKeys': [], 'creator': 'openspg', 'default': True, 'createTime': '2025-06-07 19:57:22', 'base_url': 'http://host.docker.internal:11434/v1', 'model': 'z:latest', 'type': 'ollama', 'llm_id': '2eae6cda-9497-4d2d-8488-54ac77c17277', 'desc': 'ollamaaaaaa'}, for details: 404...
!pip install huggingface-hub fsspec==2023.6.0 !pip install --quiet https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.90-cu122/llama_cpp_python-0.2.90-cp310-cp310-linux_x86_64.whl from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Qwen/Qwen2-0.5B-Instruct-GGUF", filename="*q8_0.gguf", n_ctx=8192, n_gpu_layers=-1, verbose=True ) llm("Q: Name the planets in the solar system? A:...
llm_load_tensors: offloading 24 repeating layers to GPU llm_load_tensors: offloading non-repeating layers to GPU llm_load_tensors: offloaded 25/25 layers to GPU llm_load_tensors: CPU buffer size = 137.94 MiB llm_load_tensors: CUDA0 buffer size...
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