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infiniflow/ragflow

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

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Builder

Infiniflow

infiniflow • startup

Stars

76,975

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Forks

8,643

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Dec 12, 2023

Project creation date

README Summary

RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that combines advanced RAG capabilities with Agent functionality to enhance Large Language Models with superior contextual understanding. It provides a comprehensive platform for building intelligent applications that can retrieve and generate information more effectively than traditional LLM approaches.

AI Dev Skills

Unmapped

Tags

Retrieval-Augmented GenerationLarge Language Model IntegrationVector Database ManagementDocument Processing and EmbeddingAgentic AI SystemsKnowledge Graph ConstructionSemantic SearchNatural Language ProcessingInformation RetrievalMulti-agent SystemsContext Window ManagementPrompt EngineeringKnowledge Base SearchSelf-hostedTextDocker ContainersDocumentsEnterprise Knowledge ManagementContextual ChatbotsResearch and AcademiaCloud DeploymentAgentic AICompound AI SystemsContent ManagementKnowledge-Grounded AIMulti-agent OrchestrationFinancial ServicesCustomer SupportMultimodalLegal TechEducationEnterprise Search and DiscoveryResearch Assistant ApplicationsOn-premiseIntelligent Document ProcessingStructured DataDocument Question AnsweringContent RecommendationCustomer Support AutomationHealthcareTypeScript

Taxonomy

AI Trends

Retrieval-Augmented Generation Agentic AI Compound AI Systems Knowledge-Grounded AI Multi-agent Orchestration

Deployment Context

Self-hosted Cloud Deployment On-premise Docker Containers

Industries

Enterprise Knowledge Management Legal Tech Healthcare Financial Services Education Research and Academia Customer Support Content Management

Modalities

Text Documents Structured Data Multimodal

Skill Areas

Use Cases

Document Question Answering Knowledge Base Search Intelligent Document Processing Enterprise Search and Discovery Research Assistant Applications Customer Support Automation Content Recommendation Contextual Chatbots

Recent Activity

Updated 5 months ago

7 Days

30 Days

90 Days

Quality

beta

Quality: high
Maturity: beta

PM Skills

Scale & ReliabilityDeveloper Platform

Languages

TypeScript100.0%

Timeline

Project created: Dec 12, 2023
Forked: Nov 8, 2025
Your last push: 5 months ago
Upstream last push: 6 days ago
Tracked since: Nov 7, 2025

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