A developer detailed how pre-quantizing vectors before indexing into Amazon OpenSearch Service can cut the memory footprint of a 100-million-vector, 1,536-dimension index, which at full FP32 precision…
A developer guide explains how organizations running lexical-only search on Amazon OpenSearch Service can migrate to vector and hybrid search to handle natural-language queries from both users and AI …
Amazon Bedrock Knowledge Bases supports three customer-managed vector store backends — Amazon OpenSearch Service, Amazon Aurora PostgreSQL with pgvector, and Amazon S3 Vectors — according to an AWS Ma…
AWS announced agentic observability with Amazon OpenSearch Service MCP Apps on 25 August 2026, an extension to the Model Context Protocol that renders interactive dashboards inside AI chat windows, re…
The OpenSearch project has introduced Agent Skills, executable workflows packaged as SKILL.md files that give AI coding agents the domain expertise to build, configure, and deploy OpenSearch applicati…
The Python Software Foundation (PSF) reported that its AWS spending increased 69% from July 2025 to July 2026, driven by growth in Python usage and AI agents installing packages, after eight years of …
Amazon OpenSearch Service has introduced MCP Apps, a Model Context Protocol extension that renders interactive observability visualizations—such as trace waterfalls, service maps, and log pattern view…
AWS introduces AI-Driven Annotation (AIDA), a solution built on Amazon Bedrock Knowledge Bases that uses implicit and explicit filtering along with metadata-enriched chunking to improve contract searc…
Amazon OpenSearch Service now supports OpenTelemetry's generative AI semantic conventions, enabling full observability of LLM traces for AI agents. The integration captures structured spans for model …
A team demonstrated an AI agent orchestrating a complete migration of 1 TB of production data from Elasticsearch 7.10 to OpenSearch 3.x on Amazon OpenSearch Service in 33 minutes. The agent, using Kir…
Amazon OpenSearch Service has introduced purpose-built APIs for agentic memory, enabling AI agents to store and retrieve persistent, semantically searchable conversation data. The system, built on the…
Amazon OpenSearch Service now exposes a native Model Context Protocol (MCP) endpoint, allowing AI agents like Claude, Amazon Q, and Cursor to connect directly without custom connectors. The endpoint, …
AWS released the amazon-opensearch-service skill for the Agent Toolkit on July 15, 2026, enabling AI coding agents to build, manage, and query OpenSearch via natural language. A developer tested the s…
AWS launched a new log analytics engine for Amazon OpenSearch Service that reduces storage costs by 70% and improves price-performance, addressing rising telemetry costs from AI and agentic applicatio…
Amazon Web Services announced the next generation of Amazon OpenSearch Serverless, a fully managed search and vector engine for AI agent applications that scales from zero to thousands of requests per…