hanwsf

I edited this metadata_filter.py, removed \*, then it is OK

vectorize_model: &vectorize_model api_key: empty base_url: http://127.0.0.1:11434/v1 model: bge-m3:latest type: openai vector_dimensions: 1024 vectorizer: *vectorize_model 以上配置在开发模式配置中可以创建知识库。 但是在产品模式中总是提示unknown error : invalid vectorizer config: Connection error.

https://openspg.yuque.com/ndx6g9/docs/iu5cok24efl1z2nc 已经解决。 docker exec -it ...进入容器，查得网关地址为172.20.0.1. curl 172.20.0.1:11434/v1，回复是Ollama is running. 不要使用ollama类型本地模型。 在maas类型下增加模型。 http://172.20.0.1:11434/v1 ---end---

Qwen embedding can support by Modelfile: FROM /root/.ollama/Qwen3-Embedding-8B-Q4_K_M.gguf SYSTEM """Qwen3-Embedding-8B 中文嵌入模型 向量维度: 4096 上下文长度: 32764 """ TEMPLATE """{{ .Prompt }}""" PARAMETER temperature 0

> What version of Graphiti are you using? Have you tried running `graphiti.build_indices_and_constraints()` graphiti-core 0.9.6 Yes. Code as: import asyncio import json import logging import os from datetime import datetime,...