amazon-bedrock-samples

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RAG evaluation using Arize Phoenix Eval

3

*Issue #, if available:* *Description of changes:* Adding Arize Phoenix Evals (for RAG) with Amazon Bedrock Knowledge Bases By submitting this pull request, I confirm that you can use, modify,...

kandakji

*Issue #, if available:* *Description of changes:* Adding ragas latest and claude 3 By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution,...

ayanray089

*Issue #, if available:* *Description of changes:* Added citations returned by knowledge bases to streamlit application. The S3 uri is converted to a S3 presigned URL to provide source document...

vivekmittal514

*Issue #, if available:* *Description of changes:* Link to the folder was broken, it was throwing 401, updated the right path By submitting this pull request, I confirm that you...

ajaypani

The index creation for collections should change to FAISS

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hi, According to the [bedrock knowledge base document website](https://docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base-setup.html), now the vector index should choose "faiss" as engine. If still use the "nmslib" engine as written in the [sample code](https://github.com/aws-samples/amazon-bedrock-samples/blob/main/agents/create-agent-and-kb/cdk-deployment/assets/lambda-function-create-kb/create_knowledge_base.py),...

bigben80

*Issue #, if available:* While running the Titan MM embedding code, I stumbled upon an error at the "1. Setup" step complaining about a missing library: seaborn. *Description of changes:*...

andrasome

*Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

tanayz

Update 0_create_ingest_documents_test_kb.ipynb

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updated the index creation params to faiss and the space_type to innerproduct, for new AOSS requirement for vector *Issue #, if available:* failed to create Knowledge base because AOSS required...

clevesterz

Retrieval-Augmented Generation (RAG) models have emerged as a promising approach to enhancing the capabilities of language models by incorporating external knowledge from large text corpora. However, despite their impressive performance...

alfredcs

Amazon Bedrock fine-tuning text summary deep dive blog source code.

1

*Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

tom5610