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langchain/docs
Abhishek Bhagwat 86fe484e24 docs: Docs (sample notebook) for Vertex DIY RAG Ranking API (#21054)
Vertex DIY RAG APIs helps to build complex RAG systems and provide more
granular control, and are suited for custom use cases.

The Ranking API takes in a list of documents and reranks those documents
based on how relevant the documents are to a given query. Compared to
embeddings that look purely at the semantic similarity of a document and
a query, the ranking API can give you a more precise score for how well
a document answers a given query.


[Reference](https://cloud.google.com/generative-ai-app-builder/docs/ranking)

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Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-05-01 05:39:39 +00:00
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2024-04-01 09:57:31 -07:00
2024-04-30 23:32:41 +00:00
2024-04-04 14:13:22 -07:00
2024-04-17 23:25:36 +00:00

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