Elastic has been named a Leader in the Everest Group Enterprise Search Products PEAK Matrix Assessment 2026, holding the largest market share among 16 providers evaluated. The recognition highlights E…
A developer introduced the Hybrid Retrieval pattern, which combines semantic vector search with keyword-based BM25 search using Reciprocal Rank Fusion (RRF) to improve retrieval precision. The pattern…
Elastic open-sourced Atlas, a system built on Elasticsearch that maintains three categories of memory for AI agents based on cognitive science. Atlas integrates with agents via MCP, provides per-user …
A developer with 25+ years of experience in Python, PHP, and LAMP stack is transitioning into AI engineering, focusing on local LLMs, offline AI setups, and practical model deployment. The individual …
Valkey 9.1 launched May 19 with hybrid search combining full-text, vector, numeric, and tag queries in a single index, a 10% per-key memory reduction, and two AI agents for backporting and license pro…
A developer outlines three materialized view patterns for SQL Server/Azure SQL and .NET: indexed views, custom read model tables, and precomputed page caches. The post explains how each pattern improv…
Haystack, an open-source AI framework for building production-ready agents and retrieval-augmented generation (RAG) systems, has been released. The framework provides modular components for orchestrat…
FocusOnFun team's Vortex system achieved 90.5% in the Preliminary Round and 'Excellent' overall performance with 'Outstanding' QA results at the Ho Chi Minh City AI Challenge 2025. The multimodal vide…
Mariana Souza describes a three-index Elasticsearch architecture for persistent LLM agent memory that achieves 0.89 recall without tenant leaks. The system separates episodic, semantic, and procedural…
Elastic has launched Agent Builder, a persistent memory layer for AI agents built on Elasticsearch, achieving a recall of 0.89 on a QA evaluation. The system uses three memory types from cognitive sci…
Elastic 9.4 introduces two tools for building custom integrations: Automatic Import, which now supports multiple data streams and increased log sampling, and Integration Skills, an open, LLM-agnostic …
Semantic search using vector databases outperforms keyword search for AI agents that need to retrieve information by meaning rather than exact word matches, but keyword search remains faster, cheaper,…
A Cloudera engineer describes how vector search in Elasticsearch enables semantic search and RAG pipelines by finding documents based on meaning rather than exact keywords. The post explains that vect…
Elastic has been named a Leader in the IDC MarketScape: Worldwide SIEM 2026 Vendor Assessment, recognizing its unified security operations platform, deployment flexibility, and AI capabilities. The re…
PostgreSQL has evolved into a versatile data platform that can replace multiple specialized databases, handling relational storage, full-text search, vector AI workloads, geospatial queries, and event…
A developer reports that AI is transforming production debugging by rapidly reading and correlating heterogeneous signals, with tools like Datadog's Bits AI SRE claiming time-to-resolution wins of up …
A developer abandoned building a custom document Q&A system after struggling with fine-tuning and keyword search, then built a working prototype using Retrieval-Augmented Generation (RAG) with OpenAI …
A developer built `django-graph-search`, a library that enables AI agents to query live Django ORM data without custom ETL pipelines or separate vector stores. The tool traverses relational database g…
A developer revived the archived Spring Data Solr project, which had been inactive since 2020 and moved to the Spring Attic in 2023, using Claude AI assistance. The project, now available on GitHub, r…
A developer built a production-grade Medical Retrieval-Augmented Generation (RAG) system that cures LLM hallucinations by grounding clinical AI responses in peer-reviewed evidence from the PubMed API.…