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
16 repos
Visible snapshot
10 repositories updated in the last 90 days.
Leading language
C++
Portfolio mix
C++ (4), Unknown (4), Go (2)
Average size
6K
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-09-11(1d ago)GitHub API fallback16 repositories
100%
of the visible star count comes from this organization's top three repositories.
6K
stars per repository in this same snapshot.
C++
is the most common language here, with 10 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 (4), Go (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.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | infiniflow/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 | Go | 90.6K |
| 2 | infiniflow/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++ | 4.7K |
| 3 | infiniflow/ragflow-docs | MDX | 79 |
| 4 | infiniflow/ragflow-skills Skills for RAGFlow dataset api | Python | 19 |
| 5 | infiniflow/coding-tasks | C++ | 11 |
| 6 | infiniflow/infinity-docs | MDX | 9 |
| 7 | infiniflow/github-runner-dockerfile Dockerfile for the creation of a GitHub Actions runner image to be deployed dynamically | 5 | |
| 8 | infiniflow/resource | TeX | 5 |
| 9 | infiniflow/finity Repo for CI Testing | C++ | 4 |
| 10 | infiniflow/faiss A library for efficient similarity search and clustering of dense vectors. | C++ | 3 |
| 11 | infiniflow/graspologic Python package for graph statistics | 1 | |
| 12 | infiniflow/ragflow-build | Shell | 0 |
| 13 | infiniflow/onnxruntime_go A Go (golang) library wrapping microsoft/onnxruntime. | Go | 0 |
| 14 | infiniflow/ragflow-testdata | 0 | |
| 15 | infiniflow/ragflow-stats | Python | 0 |
| 16 | infiniflow/ragflow_test | 0 |
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.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
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.