infiniflow/ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Language modelsGo#ai#ai-agents#context-engine#rag#retrieval-augmented-generation

2.7 Steady Magnitude out of 10. Star growth looks organic. Data as of September 21, 2026.

Open on Seismograph Open on GitHub

About the project

Open-source RAG engine that fuses document context extraction with agent capabilities to build production LLM systems. Supports parsing PDF, DOCX, spreadsheets, images and syncing from Confluence, Notion, S3.

Useful for

Deploy a self-hosted RAG service via Docker Compose for an internal knowledge base
Set up a pipeline for ingesting and chunking PDFs with traceable citations
Build an agentic workflow with MCP and code executor over enterprise data

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

19 stars so far today, about 44 expected by the end of the day.
GitHub Trending Go today: #8, +63 stars.
About 17 forks a day — people are taking the code.

Stars per day

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars: 91,095
Stars in a day: 44
Forks: 10,803
Issues and pull requests: 19,176
Watchers: 364
Language: Go
License: Apache-2.0
Latest release: nightly · December 1, 2025
Created: December 12, 2023
Last push: September 21, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

September 21, 2026GitHub Trending Go today: #8, +63 stars

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

[![Seismograph](https://gitnova.dev/badge/infiniflow/ragflow.svg?lang=en)](https://gitnova.dev/en/r/infiniflow/ragflow)

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