RAG

Mistral has released Agentic Search, a retrieval layer that lets AI models navigate, read, and verify information across complex documents instead of relying on single-pass chunk retrieval. The company claims accuracy improvements from 26.7% to 86% on FinanceBench and up to 39.6% lower p90 latency.

Google Workspace ships with Gemini's access to Gmail, Docs, Calendar, Chat, Drive, and Meet turned on by default, using real-time retrieval-augmented generation rather than stored training data. Admins can disable these 'Workspace Intelligence Sources' organization-wide through the admin.google.com console, though per-user controls remain limited.

Amazon has launched Web Search on Amazon Bedrock, a built-in server-side tool that grounds foundation model responses in current web knowledge with zero data egress by default. The feature is enabled via a single parameter in the OpenAI Responses API and launches with OpenAI models on Bedrock's next-generation inference engine.

Amazon Bedrock Managed Knowledge Bases now offers agentic retrieval through a new AgenticRetrieveStream API that decomposes multi-part questions into sub-queries and iterates until it judges evidence sufficient. The managed model costs $4 per 1,000 agentic retrieval calls plus $1 per 1,000 underlying Retrieve API calls.

Amazon Web Services launched Managed Knowledge Base for Bedrock in general availability, offering a fully managed retrieval solution with six native enterprise connectors including SharePoint, Confluence, and Google Drive. The service handles document parsing up to 500 MB for PDFs, 2 GB for audio, and 10 GB for video, with real-time access control list verification at query time.

Mistral AI released OCR 4, a compact document extraction model that returns bounding boxes, block classification, and inline confidence scores alongside text. The model supports 170 languages, scores 85.20 on OlmOCRBench, and is priced at $4 per 1,000 pages via API ($2 with batch discount) or $5 per 1,000 pages through Document AI.

Amazon Web Services has released new capabilities for Bedrock AgentCore, its platform for building AI agents. The update includes a managed knowledge base that handles vector storage and retrieval across enterprise data sources, native web search using Amazon's Alexa infrastructure, and a payment system enabling agents to access paid content and APIs.

JetBrains has released Mellum2, a 12-billion parameter Mixture-of-Experts model that activates only 2.5 billion parameters per token. The open-source model is designed for code generation, RAG pipelines, and agent workflows with 2x faster inference than similar-sized models.