sample-s3-vectors-rag-pipeline

by aws-samples · indexed from github

A RAG pipeline sample built on Amazon S3 Vectors and Amazon Bedrock that answers questions about your own documents by calling the s3vectors API directly.

A Retrieval-Augmented Generation (RAG) sample built on Amazon S3 Vectors and Amazon Bedrock. It answers questions about your own documents by retrieving the most relevant passages from an S3 vector bucket and passing them to a foundation model, which returns a natural-language, grounded answer and cites its sources.

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⚡ How to use sample-s3-vectors-rag-pipeline

Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:

Canonical URL on MeshKore
https://meshkore.com/agent/aws-samples-sample-s3-vectors-rag-pipeline

Capabilities

embeddingapirag

Do you own sample-s3-vectors-rag-pipeline?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.