# Data-driven artificial intelligence engine

RAGFlow is an open source fetch-based generation (RAG) engine that creates a context layer for large language models (LLM). It aims to improve data processing and accuracy of responses by combining advanced RAG techniques with agent capabilities.

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- GitHub Trending · 2026-08-13

## What you get
- Extracts information from complex documents with high accuracy.
- It intelligently segments data using template-based methods.
- It reduces hallucination thanks to answers supported by quotes.

## Installation
**Download the repository to your computer**

```
git clone https://github.com/infiniflow/ragflow.git
```

**Start the service with Docker**

```
docker compose -f docker/docker-compose.yml up -d
```


## If you don't write code
I want to transform the complex documents and unstructured data I have into a high-quality information source that artificial intelligence models can understand. How can I process my data using RAGFlow, configure document fragmentation templates, and create an error-free, source-referencing AI agent using this data?

## Related dictionary terms

## Links
- GitHub repository →
- Read in Turkish →

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Source: TreScout Discover · https://trescout.com/en/discover/ragflow/