2025
- July 2 - RAG at the Crossroads - Mid-2025 Reflections on AI’s Incremental Evolution
- August 5 - Agentic Workflow - What's inside RAGFlow 0.20.0
- August 7 - RAGFlow 0.20.0 - Multi-Agent Deep Research
- August 12 - Tutorial - Building a SQL Assistant Workflow
- September 12 - Tutorial - Build an E-Commerce Customer Support Agent Using RAGFlow
- October 15 - RAGFlow 0.21.0 - Ingestion Pipeline, Long-Context RAG, and Admin CLI
- October 17 - 500 Percent Faster Vector Retrieval! 90 Percent Memory Savings! Three Groundbreaking Technologies in Infinity v0.6.0 That Revolutionize HNSW
- October 20 - Bid Farewell to Complexity — RAGFlow CLI Makes Back-end Management a Breeze
- October 23 - Is data processing like building with lego? Here is a detailed explanation of the ingestion pipeline.
- October 28 - RAGFlow Named Among GitHub’s Fastest-Growing Open Source Projects, Reflecting Surging Demand for Production-Ready AI
- October 30 - RAGFlow in Practice - Building an Agent for Deep-Dive Analysis of Company Research Reports
- November 11 - RAGFlow 0.22.0 Overview — Supported Data Sources, Enhanced Parser, Agent Optimizations, and Admin UI
- November 12 - Google Drive Data source Guide
- November 19 - RAGFlow’s Seamless Upgrade - from 0.21 to 0.22 and Beyond
2024
- May 24 - Implementing a long-context RAG based on RAPTOR
- June 18 - Agentic RAG - Definition and Low-code Implementation
- July 11 - RAGFlow Enters Agentic Era
- July 15 - From RAG 1.0 to RAG 2.0, What Goes Around Comes Around
- September 19 - How Our GraphRAG Reveals the Hidden Relationships of Jon Snow and the Mother of Dragons
- September 24 - Implementing Text2SQL with RAGFlow
- November 26 - What Infrastructure Capabilities does RAG Need beyond Hybrid Search
- December 19 - A deep dive into RAGFlow v0.15.0
- December 24 - The Rise and Evolution of RAG in 2024 A Year in Review