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About similar question search in the vectorstore
#3
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JS-Tensorfly
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Dear @fisherman611 ,
I'm learning your code, I couldn't understand the code in the agent.py below:
vector_store = SupabaseVectorStore(
client=supabase,
embedding=embeddings,
table_name="documents2",
query_name="match_documents_2",
)
I understand the vector_store is used to search for the similar questions in the provided reference datatset, but I cound't understand how this code is linked to the 2 files "supabase_docs.csv" and "metadata.jsonl", as I didn't see any code that has mentioned the 2 files.
Hope you could help.
Thanks very much in advance!
JS-Tensorfly
changed discussion title from
About SupabaseVectorStore in the code
to About similar question search in the vectorstore
JS-Tensorfly
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closed