- Summary
- RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine designed to build a superior context layer for AI agents, particularly for enterprise use. It offers an integrated agent platform with features like web search, condition analysis (HTTP, code), report generation, agent analysis, and a Model Context Protocol (MCP) alongside subagents and retrieval capabilities. The platform is also supported by a community through GitHub, Discord, and other social media channels. Specifically, it’s used for structured legal precedent analysis.
- Title
- RAGFlow | RAGFlow
- Description
- Description will go into a meta tag in <head />
- Keywords
- agent, data, retrieval, search, context, workflow, analysis, report, discord, insights, http, agents, sources, orchestration, research, metrics, stock
- NS Lookup
- A 216.150.1.1
- Dates
-
Created 2025-11-09Updated 2026-01-27Summarized 2026-02-28
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