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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) --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>
LangChain Documentation
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