🔍 Search Indexing - sidsq

Discussed on DEV

⚙️Database Internals lemmy.ml·

Agent memory on Elasticsearch: hybrid retrieval and DLS

Covers How we built a persistent agent memory layer on Elasticsearch with 0.89 recall and zero tenant leaks

🎯Vector Search NVIDIA Blog·

NVIDIA and AWS Collaborate to Bring AI to Production at Scale

📇Vector Indexing AWS·

Automating IT support with AI: How Nexthink uses OpenSearch Service to power self-service issue resolution

🔍Vector Search Algorithms arXiv·

Clinical Term Extraction using Open-Source Small Language Models

🧠Query Planners chenshaowen.com·

Elasticsearch troubleshooting

🎯Vector Search medium.com

From Keywords to Meaning: How Vector Search Changed Search Forever

🎯Vector Search moorcheh.ai·

Information-Theoretic Vector Search Is Having Its Moment

Covered by GitHub

Discussed on Hacker News

📇Vector Indexing Sease·

The AI side of the Vespa Search Engine

🎯Vector Search Hacker News·

Forked CozoDB to give agents cognitive primitives

Discussed on Hacker News

🐘PostgreSQL EDB·

Agents Are a Data Problem

📇Vector Indexing kronotop.com·

Kronotop: A database per tenant, with transactions that span all of them

Discussed on Hacker News

🎯Vector Search medium.com

Retrieval Is the Product: BM25, Embeddings, and the Hybrid Default

🎯Vector Search pedroalonso.net·

When Does a Knowledge Graph Beat Vector Search — and When Do You Actually Need Neo4j?

🔍Vector Search Algorithms Elasticsearch Labs·

jina-clip-v2 brings text-to-image search across 89 languages to Elasticsearch, no GPU needed

🚀Query Optimization medium.com

Elasticsearch Is Not Dead. It Is Just Not Built for What You Are Building Now.

🎯Vector Search alexi.sh·

What Is a Vector Database? A Plain-English Guide (2026)

Covers Pixabay

Jingra: A Reproducible Framework for Vector Search Benchmarking

Build a Hybrid RAG System with FAISS, BM25, LangGraph and Claude Sonnet Model

Words into Numbers: Demystifying Bag of Words, TF-IDF, and Word Embeddings

# Vector Search and RAG: A Primer

Agent memory on Elasticsearch: hybrid retrieval and DLS

NVIDIA and AWS Collaborate to Bring AI to Production at Scale

Automating IT support with AI: How Nexthink uses OpenSearch Service to power self-service issue resolution

Clinical Term Extraction using Open-Source Small Language Models

Elasticsearch troubleshooting

From Keywords to Meaning: How Vector Search Changed Search Forever

Information-Theoretic Vector Search Is Having Its Moment

The AI side of the Vespa Search Engine

Forked CozoDB to give agents cognitive primitives

Agents Are a Data Problem

Kronotop: A database per tenant, with transactions that span all of them

Retrieval Is the Product: BM25, Embeddings, and the Hybrid Default

When Does a Knowledge Graph Beat Vector Search — and When Do You Actually Need Neo4j?

jina-clip-v2 brings text-to-image search across 89 languages to Elasticsearch, no GPU needed

Elasticsearch Is Not Dead. It Is Just Not Built for What You Are Building Now.

What Is a Vector Database? A Plain-English Guide (2026)