How to filter records based on identifier (識別子) word in JAPANESE,
i have stored documents to vector db as
識別子「xyz」のために、モジュールは「abc」であれば、ページは「747」
and i am using code as
vectorstore = Weaviate(client, “dbname”, “final_document”)
qa_chain = RetrievalQA.from_chain_type(llm=llm,
chain_type=‘stuff’,
retriever=vectorstore.as_retriever(search_kwargs={‘k’: 4}),
return_source_documents=True,
chain_type_kwargs={‘prompt’: prompt}
)
final_document is key against which docs are stored to vector db
Hi @Abhishek_Joshi !
Is this Langchain?
If that’s the case (llamaindex and langchain sometimes have similar syntax/api) we have here a recipe that can ilustrate that:
#source_file = "brazil-wikipedia-article-text.pdf"
source_file = "netherlands-wikipedia-article-text.pdf"
where_filter = {
"operator": "Equal",
"path": ["source"],
"valueText": source_file
}
# we want our retriever to filter the results
retriever = db.as_retriever(search_kwargs={"where_filter": where_filter})
Let me know if that helps.
can I pass multiple where conditions on different properties
like
country equal USA
currency equal USD
in single where_filter dictionary?
Sure thing!
Here is the docs for that:
Let me know if this helps 
By the way, since this thread, a new integration for Langchain + Weaviate was released:
This new integration uses Weaviate python v4 client, and delivers way more performance than the previous v3 version.