[BUG] chatchat.init_database:worker:61 - 向量库 samples 加载失败

[Tara666666]

(mylangch) C:\Users\Jack>chatchat kb -r
recreating all vector stores
C:\Users\Jack\anaconda3\envs\mylangch\lib\site-packages\langchain_api\module_import.py:87: LangChainDeprecationWarning: Importing GuardrailsOutputParser from langchain.output_parsers is deprecated. Please replace the import with the following:
from langchain_community.output_parsers.rail_parser import GuardrailsOutputParser
warnings.warn(
2025-03-23 10:06:11.950 | INFO | chatchat.server.knowledge_base.kb_cache.faiss_cache:load_vector_store:109 - loading vector store in 'samples/vector_store/bge-large-zh-v1.5' from disk.
2025-03-23 10:06:12.339 | ERROR | chatchat.server.knowledge_base.kb_cache.faiss_cache:load_vector_store:140 - Error code: 404 - {'detail': 'Not Found'}
2025-03-23 10:06:12.340 | ERROR | chatchat.init_database:worker:61 - 向量库 samples 加载失败。

[dosubot]

The error you're encountering with the vector store 'samples/vector_store/bge-large-zh-v1.5' failing to load with error code 404 is likely due to the default embedding model 'bge-large-zh-v1.5' not being found. To resolve this issue, ensure that the model inference framework and corresponding embedding model are running, and complete the model integration configuration as described in the setup steps.

You can initialize Langchain-Chatchat with specific LLM and embedding models using the following command:

chatchat init -l qwen1.5-chat -e bge-m3 -r

Additionally, verify that the knowledge base path is correctly set in the knowledge_base directory under the path pointed by the DATA_PATH variable. If the vector store 'bge-large-zh-v1.5' is missing, check the directory /root/anaconda3/envs/chatchat/lib/python3.11/site-packages/chatchat/data/knowledge_base/samples/vector_store to ensure the model files are present. If necessary, specify a different text-embedding model during initialization:

cd # Return to the original directory
chatchat-kb -r --embed-model=text-embedding-3-small

For more details, you can refer to the related issue here ^[1].

To continue talking to Dosu, mention @dosu.

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