跳到主要内容
阅读需 5 分钟

RAGFlow 0.25 — Ingestion pipeline, agent sandbox, and user-level memory

RAGFlow 0.25 — Ingestion pipeline, agent sandbox, and user-level memory
阅读需 9 分钟

Data foundation in the era of agent harness - why RAGFlow is changing

Data foundation in the era of agent harness - why RAGFlow is changing
阅读需 4 分钟

RAGFlow x OpenClaw - The Enterprise-aware Claw

RAGFlow x OpenClaw - The Enterprise-aware Claw
阅读需 2 分钟

RAGFlow online service domain switch

阅读需 4 分钟

RAGFlow 0.24.0 — Memory API, knowledge base governance and Agent chat history

RAGFlow 0.24.0 — Memory API, knowledge base governance and Agent chat history
阅读需 18 分钟

RAGFlow 0.23.0 — Advancing Memory, RAG, and Agent Performance

RAGFlow 0.23.0 — Advancing Memory, RAG, and Agent Performance
阅读需 37 分钟

From RAG to Context - A 2025 year-end review of RAG

From RAG to Context - A 2025 year-end review of RAG
阅读需 3 分钟

RAGFlow’s Seamless Upgrade - from 0.21 to 0.22 and Beyond

RAGFlow’s Seamless Upgrade - from 0.21 to 0.22 and Beyond
阅读需 6 分钟

RAGFlow 0.22.0 Overview — Supported Data Sources, Enhanced Parser, Agent Optimizations, and Admin UI

RAGFlow 0.22.0 Overview — Supported Data Sources, Enhanced Parser, Agent Optimizations, and Admin UI
阅读需 16 分钟

RAGFlow in Practice - Building an Agent for Deep-Dive Analysis of Company Research Reports

RAGFlow in Practice - Building an Agent for Deep-Dive Analysis of Company Research Reports
阅读需 3 分钟

RAGFlow Named Among GitHub’s Fastest-Growing Open Source Projects, Reflecting Surging Demand for Production-Ready AI

阅读需 18 分钟

Is data processing like building with lego? Here is a detailed explanation of the ingestion pipeline.

Is data processing like building with lego? Here is a detailed explanation of the ingestion pipeline.
阅读需 11 分钟

Bid Farewell to Complexity — RAGFlow CLI Makes Back-end Management a Breeze

Bid Farewell to Complexity — RAGFlow CLI Makes Back-end Management a Breeze
阅读需 10 分钟

500 Percent Faster Vector Retrieval! 90 Percent Memory Savings! Three Groundbreaking Technologies in Infinity v0.6.0 That Revolutionize HNSW

500 Percent Faster Vector Retrieval! 90 Percent Memory Savings! Three Groundbreaking Technologies in Infinity v0.6.0 That Revolutionize HNSW
阅读需 10 分钟

RAGFlow 0.21.0 - Ingestion Pipeline, Long-Context RAG, and Admin CLI

RAGFlow 0.21.0 - Ingestion Pipeline, Long-Context RAG, and Admin CLI
阅读需 7 分钟

Tutorial - Build an E-Commerce Customer Support Agent Using RAGFlow

Tutorial - Build an E-Commerce Customer Support Agent Using RAGFlow
阅读需 7 分钟

Tutorial - Building a SQL Assistant Workflow

Tutorial - Building a SQL Assistant Workflow
阅读需 13 分钟

RAGFlow 0.20.0 - Multi-Agent Deep Research

RAGFlow 0.20.0 - Multi-Agent Deep Research
阅读需 8 分钟

Agentic Workflow - What's inside RAGFlow 0.20.0

Agentic Workflow - What's inside RAGFlow 0.20.0
阅读需 14 分钟

RAG at the Crossroads - Mid-2025 Reflections on AI’s Incremental Evolution

RAG at the Crossroads - Mid-2025 Reflections on AI’s Incremental Evolution
阅读需 37 分钟

The Rise and Evolution of RAG in 2024 A Year in Review

The Rise and Evolution of RAG in 2024 A Year in Review
阅读需 6 分钟

A deep dive into RAGFlow v0.15.0

A deep dive into RAGFlow v0.15.0
阅读需 9 分钟

What Infrastructure Capabilities does RAG Need beyond Hybrid Search

What Infrastructure Capabilities does RAG Need beyond Hybrid Search
阅读需 5 分钟

Implementing Text2SQL with RAGFlow

Implementing Text2SQL with RAGFlow
阅读需 6 分钟

How Our GraphRAG Reveals the Hidden Relationships of Jon Snow and the Mother of Dragons

How Our GraphRAG Reveals the Hidden Relationships of Jon Snow and the Mother of Dragons
阅读需 8 分钟

From RAG 1.0 to RAG 2.0, What Goes Around Comes Around

From RAG 1.0 to RAG 2.0, What Goes Around Comes Around
阅读需 8 分钟

RAGFlow Enters Agentic Era

RAGFlow Enters Agentic Era
阅读需 6 分钟

Agentic RAG - Definition and Low-code Implementation

Agentic RAG - Definition and Low-code Implementation
阅读需 4 分钟

Implementing a long-context RAG based on RAPTOR

Implementing a long-context RAG based on RAPTOR