Database tutorial - IT technology blog
Posted inDatabase

pgvector Guide: Storing and Searching Vector Embeddings in PostgreSQL for AI and RAG Applications

pgvector is a PostgreSQL extension that lets you store and search vector embeddings directly in your existing database — no need to deploy a separate system. This guide covers installation, HNSW index creation, semantic search, and integrating pgvector into a Python RAG pipeline, with practical monitoring tips from real-world experience.
Artificial Intelligence tutorial - IT technology blog
Posted inAI

Building a RAG System with RAGFlow: From Setup to Efficient Production Deployment

Retrieval-Augmented Generation (RAG) systems help LLMs provide more accurate answers by retrieving information from external data sources. RAGFlow is a platform for building, managing, and efficiently deploying RAG. This article guides you through RAGFlow installation, creating RAG applications, configuring data and LLMs, deploying APIs, and optimizing for production.