github Not archived

RUC-NLPIR/FlashRAG

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

1 awesome list

Quick read

Stars
3,566
Forks
314
Open issues
40
Commits
810

Activity and growth

Latest capture 2026-09-10 03:08

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
+72
Stored snapshots
7

Classification

Metadata

Language
Python
License
MIT
Default branch
main
Created
2024-03-14
First commit
2024-03-19
Last pushed
2026-08-21
GitHub updated
2026-09-08
Last synced
2026-09-10 03:08
Stack scanned
2026-09-10 03:08
Archived
No

Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

7 observed captures since 2026-05-25. Observed captures are shown by default.

Stars from first capture +72

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

NirDiamant/RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

29,408 stars
Jupyter Notebook 1 awesome list

PromtEngineer/localGPT

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

22,200 stars
Python 3 awesome lists

DataScienceUIBK/Rankify

🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.

684 stars
Python 2 awesome lists

OpenBMB/UltraRAG

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

5,688 stars
Python 2 awesome lists

athina-ai/rag-cookbooks

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

2,572 stars
Jupyter Notebook 2 awesome lists