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Retrieval-Augmented Generation

45 summarised stories about Retrieval-Augmented Generation, each linking back to the original source. Browse all topics →

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Thursday, 20 August 2026

AWS vector solutions: Build agentic AI where your data lives

Amazon Web Services 1 month ago 31

AWS is positioning “AWS vector solutions” as a way to add retrieval for agentic AI without moving or duplicating data across systems. The announcement highlights that Amazon OpenSearch Serverless autoscales 20x faster than its previous generation and can provision in seconds. As a result, teams can choose among different AWS vector engines (including OpenSearch, S3 Vectors, and DynamoDB vector search) to match latency, cost, and access patterns for RAG and semantic retrieval workloads.

Agentic Search. More accurate and efficient results from your AI systems.

Mistral AI 1 month ago 32

Mistral released Agentic Search, a retrieval layer that lets AI systems search, navigate, read, and verify information inside complex enterprise documents using a multi-step loop. It reported 3x correctness on FinanceBench financial filings, raising accuracy from 26.7% to 86%. The approach cuts turns, token use, and latency compared with one-shot RAG by replacing repeated broad searches with targeted navigation-based inspection of evidence.

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