TOOLORA / Local reading edition
RAGFlow
Turn enterprise documents into cited knowledge bases and orchestrate retrieval and agent workflows.
Overview
RAGFlow combines parsing, chunking, hybrid search, reranking and cited answers for teams building knowledge assistants. Inspect source passages and compose retrieval, tools, models and MCP services through visual workflows. Self-hosted code and a separate cloud service are available. Language and embedding models require configuration; self-hosting does not keep external model calls local. This is not a public dataset portal.
- Company country / region
- Cayman Islands · Registered office
Usage guide & costs
- Before you start
Open-source code uses Apache 2.0. Cloud service, selected models and infrastructure have separate costs and terms. DeepDoc supports CPU inference; resources depend on models, data and concurrency. The code license does not promise free cloud service.
Official details ↗ · Official details ↗ · Official details ↗ · Official details ↗
Official sources and references
- Official websitehttps://ragflow.io/
- Documentationhttps://github.com/infiniflow/ragflow/blob/main/README.md
- Documentationhttps://ragflow.io/about-service
Descriptions summarize public information; consult official websites for features, pricing and regional availability.