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Data sourced from GitHub API

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  3. InfiniFlow
InfiniFlowOrganization

InfiniFlow

@infiniflow • Open source projects from infiniflow. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

100%

Top three share

Shows whether the organization is driven by one breakout repo or several visible projects.

Breadth

13 repos

Visible snapshot

7 repositories updated in the last 90 days.

Leading language

C++

Portfolio mix

C++ (4), Unknown (3), MDX (2)

Average size

7K

Stars per repository

Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.

Back to organizationsCompare repositories
Updated: 2026-07-22(7d ago)GitHub API fallback13 repositories

Portfolio Shape

100%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

7K

stars per repository in this same snapshot.

Current Mix

C++

is the most common language here, with 7 repositories updated in the last 90 days.

Why this rank

This organization stands out because one flagship repo drives 95% of its visible star count.

Flagship share 95%Breakout repo: ragflow

Organization pages work best when you separate portfolio breadth from flagship concentration. In InfiniFlow's case, the visible top three repositories account for about 100% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.

The dominant language mix here is C++ (4), Unknown (3), MDX (2). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#RepositoryLanguageStars🍴 ForksUpdated
1infiniflow/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

Go86.4K10.1KToday
2infiniflow/infinity

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

C++4.7K4334 days ago
3infiniflow/ragflow-docsMDX7832Today
4infiniflow/ragflow-skills

Skills for RAGFlow dataset api

Python1644 months ago
5infiniflow/coding-tasksC++10241 years ago
6infiniflow/infinity-docsMDX962 weeks ago
7infiniflow/resourceTeX514 weeks ago
8infiniflow/github-runner-dockerfile

Dockerfile for the creation of a GitHub Actions runner image to be deployed dynamically

401 weeks ago
9infiniflow/finity

Repo for CI Testing

C++462 years ago
10infiniflow/faiss

A library for efficient similarity search and clustering of dense vectors.

C++212 years ago
11infiniflow/graspologic

Python package for graph statistics

108 months ago
12infiniflow/ragflow-statsPython001 weeks ago
13infiniflow/ragflow_test0010 months ago

Next step after the organization read

Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Open flagship repoCompare repositoriesBack to organizations

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

How to read this organization snapshot

Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.

For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.