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Knowledge Bases for Amazon Bedrock now supports hybrid search

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Hybrid Search is now generally available in Knowledge Bases for Bedrock for OpenSearch Serverless. Retrieval augmented generation (RAG) applications typically use semantic search, which relies on semantic vectors to search unstructured text. These vectors are created from machine learning models to capture contextual and linguistic meaning within the data to answer human-like questions. Hybrid search combines this semantic search with a text based search to improve the relevance of retrieved results, especially for keyword searches.

Mistral AI foundation models now generally available on Amazon Bedrock

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Mistral AI’s Mixtral 8x7B and Mistral 7B foundation models are now generally available on Amazon Bedrock. Mistral AI models are now offered in Amazon Bedrock, joining other leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. You now have even more choice of high-performing models available in Amazon Bedrock via a single API, so you can choose the optimal model to build generative AI applications with security, privacy, and responsible AI.

QnAIntent for Amazon Lex is now generally available

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We are excited to announce general availability of the QnAIntent in Amazon Lex, enabling developers securely connect foundation models (FM) to company data for Retrieval Augmented Generation (RAG). Introduced in preview at re:Invent in November 2023, the QnAIntent leverages enterprise data and foundation models on Amazon Bedrock to generate relevant, accurate, and contextual responses. The QnAIntent can be used with new or existing Lex bots to automate frequently asked questions (FAQs) through text and voice channels, such as Amazon Connect.

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