NeuronDB: PostgreSQL AI Vector Database Extension
NeuronDB adds vector search, ML inference, and RAG capabilities to PostgreSQL. It includes HNSW indexing, GPU acceleration, 10+ distance metrics, and full pgvector compatibility.
Technical insights, tutorials, and updates from our team building the future of PostgreSQL clustering
Deep dives, tutorials, and engineering notes.
NeuronDB adds vector search, ML inference, and RAG capabilities to PostgreSQL. It includes HNSW indexing, GPU acceleration, 10+ distance metrics, and full pgvector compatibility.
Learn how to implement semantic search over text using NeuronDB with real-world examples, SQL queries, and production-ready code. Complete guide to building document search systems, RAG pipelines, and hybrid search.
PostgreSQL connection pooler with load balancing, automatic failover, and optimization for connection management.
PostgreSQL performance monitoring with 52 metrics, 11 pre-built views, and insights into query execution, cache efficiency, WAL generation, and JIT compilation.
Executive Summary: In distributed database systems, achieving consensus across multiple nodes while maintaining data consistency and preventing split-brain scenarios is one of the most challenging engineering problems.
Releases, product updates, and news.