Zoharsan/aws simple rag

[zoharsan]

I confirm that this contribution is made under the terms of the license found in the root directory of this repository's source tree and that I have the authority necessary to make this contribution on behalf of its copyright owner.

[Copilot]

Pull Request Overview

This PR introduces a new sample application demonstrating Retrieval Augmented Generation (RAG) using AWS Bedrock models in Vespa. The application builds upon the MS Marco passage ranking example and showcases how to integrate AWS Bedrock's OpenAI-compatible API with Vespa's RAG capabilities.

Key changes:

• Added a new aws-simple-rag sample application with configuration for AWS Bedrock integration
• Implemented hybrid search combining BM25 text search and vector similarity using the E5 embedder
• Provided comprehensive documentation for setup, deployment, and querying with AWS Bedrock models

Reviewed Changes

Copilot reviewed 5 out of 7 changed files in this pull request and generated 12 comments.

Show a summary per file

File	Description
aws-simple-rag/services.xml	Defines Vespa service configuration including the HuggingFace E5 embedder, AWS Bedrock OpenAI client setup, and RAG search chain
aws-simple-rag/schemas/passage.sd	Schema definition for passage documents with text and embedding fields, plus hybrid ranking profile
aws-simple-rag/README.md	Comprehensive documentation covering AWS Bedrock setup, Vespa deployment, feeding data, and querying with RAG
aws-simple-rag/.vespaignore	Configuration to exclude unnecessary files from the Vespa application package
aws-simple-rag/ext/edit-app-access.png	Screenshot showing how to grant application access to secrets in Vespa Cloud Console
README.md	Added reference to the new AWS Bedrock RAG sample application in the main repository README

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[kkraune]

Good! I would consider moving it to the examples directory instead of the root, to keep things a little more organized.

I left some of the indentation suggestions below for your review and commit

[zoharsan]

@kkraune I moved the directory to examples.

[Copilot]

Pull Request Overview

Copilot reviewed 5 out of 7 changed files in this pull request and generated 3 comments.

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