NeuronDB a PostgreSQL AI Extension
NeuronDB adds vector search, ML inference, and RAG capabilities to PostgreSQL. Includes HNSW indexing, GPU acceleration, 10 distance metrics, and pgvector compatibility.
Tutorials and updates about NeuronDB
Tutorials and technical notes.
NeuronDB adds vector search, ML inference, and RAG capabilities to PostgreSQL. Includes HNSW indexing, GPU acceleration, 10 distance metrics, and pgvector compatibility.
Implement semantic search over text using NeuronDB. Includes examples, SQL queries, and code. Guide to building document search systems, RAG pipelines, and hybrid search.
Vector operations, indexing, and similarity search in PostgreSQL with NeuronDB. Guide with SQL queries and results. Learn HNSW indexing, distance metrics, quantization, and performance optimization.
MCP Server (Model Context Protocol) guide. What it is, how it works, integration with Claude Desktop, known MCP servers, and NeuronMCP implementation. Learn how MCP enables AI assistants to access external tools and resources.
RAG (Retrieval-Augmented Generation) guide with examples, SQL queries, and implementation patterns. Learn how to build RAG systems with document retrieval, context building, LLM integration, and response generation.
Practical guide to the core RAG architecture patterns: basic, conversational, filtered, adaptive, hypothesis-driven, agent-driven, and graph-based RAG. Learn when to use each and what trade-offs matter in production.
Agentic AI systems guide. Explains agent architecture, planning, tool use, memory systems, and autonomous task execution. Includes implementation using NeuronDB and NeuronAgent with code examples.
Guide to using PostgreSQL as a vector database. Learn how PostgreSQL with NeuronDB extension works as a vector database with HNSW indexing, similarity search, and production capabilities.
Guide to deploying AI workloads with databases on-premises. Learn about on-premises AI infrastructure, data sovereignty, security, performance, and implementation with NeuronDB. Includes architecture patterns, deployment strategies, and examples.