From: infiniflow <github.com/infiniflow>Newsgroups: alt.freeweights.toolsSubject:

RAGFlow

Release: v1.0.0 (2026-11-06)Commit: db1cd59License: Apache-2.0

RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.

retrievalv1.0.0releaseRAGFlowGoApache-2.0
FactsLicenseApache-2.0LanguageGoKindretrievalRelease2026-11-06PlatformsLinux, macOS, WindowsLinks to the projectpermissive
$ docker compose -f docker-compose.yml up -d

Overview

Retrieval-augmented generation engine with deep document understanding.

Kind
retrieval
License
Apache-2.0
Language
Go
Platforms
Linux, macOS, Windows
Latest release
v1.0.0 (2026-11-06)
Repository
infiniflow/ragflow
Topicsagent-harnessagent-native-databaseagentic-aiagentic-retrievalagentic-searchaiai-agentscontext-enginecontext-engineeringcontext-managementharness-engineeringknowledge-compilation

Freeweights links to the project and does not host tool binaries.

Install

$ docker compose -f docker-compose.yml up -d
$ docker compose -f docker-compose.yml up -d

Checked against the project's README on 2026-11-14. The project's own instructions win when they differ: install docs

Freeweights links to the project and does not host tool binaries.

Use with Freeweights

Use a catalog model

Download the weights from Freeweights first (HF_ENDPOINT or fw.py), then point the tool at the folder.

Catalog models it can run (354)

and 294 more.

License

License
Apache-2.0
Class
Permissive

Read the license

Freeweights links to the project and does not host tool binaries.

Provenance

From: infiniflow <github.com/infiniflow>Newsgroups: alt.freeweights.toolsSubject: RAGFlowRelease: v1.0.0 (2026-11-06)Commit: db1cd59License: Apache-2.0
Repository
infiniflow/ragflow
Pinned release
v1.0.0, 2026-11-06
Release commit
db1cd5929a7885a3074547791f5ecc4d2f891739
Default branch
main f9a53a3779a12b5abb8a254ec9384c2af7fae4b4
Fetched
2026-11-14
Takedowns
None.

Freeweights links to the project and does not host tool binaries.

Works with

354 catalog models. See the list