All news with #retrieval-augmented generation tag

Google Cloud: Monthly AI product and security update

🔔 This month Google Cloud expanded its AI stack across models, tooling, and security. Highlights include Gemini 2.5 Flash with native image generation and SynthID watermarking on Vertex AI, new Veo video models, the Gemini CLI, and a global Anthropic Claude endpoint. Google also published 101 gen‑AI blueprints, developer guidance for choosing tools, and security advances for agents and AI workloads.

AI Crawler Traffic: Purpose and Industry Breakdown

🔍 Cloudflare Radar introduces industry-focused AI crawler insights and a new crawl purpose selector that classifies bots as Training, Search, User action, or Undeclared. The update surfaces top bot trends, crawl-to-refer ratios, and per-industry views so publishers can see who crawls their content and why. Data shows Training drives nearly 80% of crawl requests, while User action and Undeclared exhibit smaller, cyclical patterns.

Make Websites Conversational with NLWeb and AutoRAG

🤖 Cloudflare offers a one-click path to conversational search by combining Microsoft’s NLWeb open standard with Cloudflare’s managed retrieval engine, AutoRAG. The integration crawls and indexes site content into R2 and a managed vector store, serves embeddings and inference via Workers AI, and exposes both a user-facing /ask endpoint and an agent-focused /mcp endpoint. Publishers get continuous re-indexing, controlled agent access, and observability through an AI Gateway, removing much of the infrastructure burden for conversational experiences.

Google Conversational Analytics API Brings Chat to Your Data

💬 The Conversational Analytics API lets developers embed natural‑language data queries and chat‑driven analysis directly into custom applications, internal tools, and workflows. It combines Google's AI, Looker’s semantic layer, and BigQuery context engineering to deliver data, chart, and text answers with trusted access controls. Features include agentic orchestration, a Python Code Interpreter, RAG‑assisted context engineering, and both stateful and stateless conversation modes. Enterprise controls such as RBAC, row‑ and column‑level access, and query limits are built in.

Amazon RDS Supports MariaDB 11.8 with Vector Engine

🚀 Amazon RDS for MariaDB now supports MariaDB 11.8 (minor 11.8.3), the community's latest long-term maintenance release. The update introduces MariaDB Vector, enabling storage of vector embeddings and use of retrieval-augmented generation (RAG) directly in the managed database. It also adds controls to limit maximum temporary file and table sizes to better manage storage. You can upgrade manually, via snapshot restore, or with Amazon RDS Managed Blue/Green deployments; 11.8 is available in all regions where RDS MariaDB is offered.

Amazon Neptune Adds BYOKG RAG Support via GraphRAG

🔍 Amazon Web Services announced general availability of Bring Your Own Knowledge Graph (BYOKG) support for Retrieval-Augmented Generation (RAG) using the open-source GraphRAG Toolkit. Developers can now connect domain-specific graphs stored in Amazon Neptune (Database or Analytics) directly to LLM workflows, combining graph queries with vector search. This reduces hallucinations and improves multi-hop and temporal reasoning, easing operationalization of graph-aware generative AI.

Amazon Bedrock Data Automation Adds Five Document Languages

📄 Amazon Web Services' Bedrock Data Automation now supports five additional document languages — Portuguese, French, Italian, Spanish, and German — expanding multilingual document processing beyond English. Customers can build blueprints, prompts, and instructions in these languages using BDA Custom Output, while BDA Standard Output will produce summaries and figure captions in the detected document language. This update is generally available across multiple AWS commercial and GovCloud regions and aims to accelerate multilingual document workflows for intelligent document processing and multimodal automation.

AWS releases MCP server for Billing and Cost Management

🧾 AWS has published an open-source Model Context Protocol (MCP) server for Billing and Cost Management, available in the AWS Labs GitHub repository. The server exposes AWS service APIs and a dedicated SQL-based calculation engine to produce reliable, reproducible cost calculations across large volumes of usage data. It integrates with any MCP-compatible AI assistant or agent — including Q Developer CLI, the Kiro IDE, Visual Studio Code, and Claude Desktop — enabling customers to analyze historical spend, find optimization opportunities, and estimate costs for new workloads with minimal configuration.

Amazon Neptune integrates with Cognee for GenAI memory

🧠 Amazon Neptune now integrates with Cognee to provide graph-native memory for agentic generative AI applications. The integration enables developers to use Amazon Neptune Analytics as the persistent graph and vector store behind Cognee’s memory layer, supporting large-scale memory graphs, long-term memory, and multi-hop reasoning. Hybrid retrieval across graph, vector, and keyword modalities helps agents deliver more personalized, cost-efficient, and context-aware experiences; documentation and a sample notebook are available to accelerate adoption.

Agent Factory: Enterprise Design Patterns for Agentic AI

🤖 Microsoft introduces the Agent Factory series to share best practices and design patterns for enterprise agentic AI that reasons, acts, and collaborates across workflows. The post outlines five core patterns—tool use, reflection, planning, multi-agent, and ReAct—and links them to real-world outcomes such as reduced proposal time and automated incident delivery. It stresses the need for a unified platform to manage security, identity, observability, and connectors. Azure AI Foundry is presented as a scalable end-to-end solution with flexible model choice, 1,400+ connectors, open protocols, and managed Entra Agent ID and RBAC.

Google July AI updates: tools, creativity, and security

🔍 In July, Google announced a broad set of AI updates designed to expand access and practical value across Search, creativity, shopping and infrastructure. AI Mode in Search received Canvas planning, Search Live video, PDF uploads and better visual follow-ups via Circle to Search and Lens. NotebookLM added Mind Maps, Study Guides and Video Overviews, while Google Photos gained animation and remixing tools. Research advances include DeepMind’s Aeneas for reconstructing fragmentary texts and AlphaEarth Foundations for satellite embeddings, and Google said it used an AI agent to detect and stop a cybersecurity vulnerability.