Open heyjohnlim opened 1 month ago
It seems that based on issue https://github.com/langchain-ai/langchain/issues/11471, the vector store interface does not specify a standard way to reuse an index and it is up to the implementation to define it.
@efriis can you confirm if this is true?
the parameters are integration-specific (e.g. weaviate has different parameters required to connect vs. chroma), and I would recommend adding documentation on how to connect to an existing store since it's not there yet! Maybe add it to the "connecting to weaviate" section?
Good issue!
The weaviate documentation does not explain how to save a database with an
index_name
nor load an existing vector database and query it. It assumes that we are just using from_documents or from_text.Also when i was trying to load an existing vector database, i got errors saying
index_name
andtext_key
were required parameters to WeaviateVectorStoreReference: https://python.langchain.com/v0.2/docs/integrations/vectorstores/weaviate/
Thanks again!