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Updated 7 months ago
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Hi! Maybe this question is stupid... but
Hi! Maybe this question is stupid... but
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richard1861
7 months ago
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Hi! Maybe this question is stupid... but imagine i have 200 docs and i want to make a RAG to retrieve the documents where an specific topic is talked about. Imagine i have 200 documents abouts cars, but in only 20 of those they talk about ferraris.
I would like to do something like document comparison but at large scale. how can i do this? I would like to do something like analytics of documents with rag. I though about this (
https://docs.llamaindex.ai/en/stable/examples/agent/agent_runner/agent_around_query_pipeline_with_HyDE_for_PDFs/
and
https://docs.llamaindex.ai/en/stable/examples/agent/multi_document_agents/
)
but I would like to know if someone has already worked on this topic. Thanks.
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richard1861
7 months ago
Maybe just do a retrieval with a score threshold of the nodes and then get unique document ids of the retrieved nodes?
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Jacob Chan
7 months ago
That's possible. We can save the document in vector database with index and just get the index of retrieved collections.
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