RAGFlow

What it is

RAGFlow is an open-source Retrieval-Augmented Generation (RAG) framework designed to help developers build applications that understand documents and answer questions using Large Language Models (LLMs). It simplifies the process of integrating document retrieval and question answering capabilities into your projects.

RAGFlow stands out as a fully open-source, self-hosted RAG framework, offering developers the flexibility to integrate document understanding and question answering capabilities into their projects without cloud dependency.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Performance issues with large datasets

   Retrieval process can become slow and resource-intensive when handling extensive document collections

What it does well

• Retrieval-Augmented Generation (RAG) capabilities for document understanding and Q&A.

• Integration with Large Language Models (LLMs).

• Open-source under Apache-2.0 license.

• Self-hosted deployment options.

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.