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ragflow

infiniflow/ragflow

Retrieval-Augmented Generation (RAG) engine with agent capabilities

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

166views this month

91k stars11k forksLast push Sep 18, 2026 Go Apache-2.0

Decision brief

RAGFlow is an open-source RAG engine that integrates agent capabilities to enhance context management for LLMs, built in Go under the Apache-2.0 license.

Good fit when

When you need an open-source RAG engine that can integrate with external LLM and embedding services to enhance context management.
If your project requires a Docker image that is approximately 2 GB in size and can be built with or without proxy support.

Avoid when

If your project does not require integration with external LLM and embedding services, as RAGFlow relies on these services.
If you are looking for a lightweight solution, as RAGFlow's Docker image is approximately 2 GB in size.

Observed Sep 18, 2026 · Source: enrich:decision_facts

ragflow alternatives Trust report

ragflow vs Flowise ragflow vs agentic-rag-for-dummies ragflow vs Vane

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (90,923) are secondary evidence.

Docker Hub pulls (30d): 3,802,467·Docker Hub API·Sep 18, 2026

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 18, 2026
Provenance: Not a fork · Organization account; As of Sep 18, 2026
Security (OSV): 3 low (3 low); As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for InfiniFlow. Display-only - separate from trust and ranking.

Company: InfiniFlow·GitHub org profile·Jul 11, 2026
Commercial model: Pure OSS·GitHub org profile (public repos)·Jul 11, 2026

Install

go get github.com/infiniflow/ragflow

pkg.go.dev

How it fits your stack(91)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

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Same-category neighbours not already linked as typed edges.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

RAGFlow is an open-source RAG engine that integrates agent capabilities to enhance context management for LLMs.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Sep 18, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 18, 2026
Languages: go, python
Source: github.language+pyproject.toml · Sep 18, 2026

Graph entities

InfiniFlowcompany

README

🔧 Build a Docker Image This image is approximately 2 GB in size and relies on external LLM and embedding services. Or if you are behind a proxy, you can pass proxy arguments:

For agents

This page has a .md twin and JSON over the API.

/tools/infiniflow-ragflow.md GET /api/graphcanon/tools/infiniflow-ragflow GET /api/graphcanon/graph?tool=infiniflow-ragflow