Top Python RAG repositories on GitHub
Retrieval-augmented generation pipelines, embeddings, and grounding tooling. Filtered to projects whose primary language is Python.
Ranked by stars across 1,118 Python repositories tagged rag. Refreshed daily.
- 1open-webui/open-webui★ 154,016 · ⑂ 22,510
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
- ollama
- ollama-webui
- llm
- webui
- self-hosted
- llm-ui
- 2langchain-ai/langchain★ 147,474 · ⑂ 24,708
The agent engineering platform.
- ai
- anthropic
- gemini
- langchain
- llm
- openai
- 3Shubhamsaboo/awesome-llm-apps★ 140,788 · ⑂ 20,692
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
- llms
- rag
- python
- agents
- 4Graphify-Labs/graphify★ 124,043 · ⑂ 11,972
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
- claude-code
- graphrag
- knowledge-graph
- codex
- openclaw
- skills
- Live search
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- 5PaddlePaddle/PaddleOCR★ 90,643 · ⑂ 11,446
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
- ocr
- chineseocr
- pdf2markdown
- pp-ocr
- pp-structure
- document-parsing
- 6unclecode/crawl4ai★ 84,790 · ⑂ 8,780
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
- ai
- ai-agents
- crawler
- data-extraction
- llm
- markdown
- 7
- 8headroomlabs-ai/headroom★ 74,456 · ⑂ 5,764
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
- agent
- ai
- anthropic
- compression
- context-engineering
- context-window
- 9mem0ai/mem0★ 66,609 · ⑂ 7,851
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
- ai
- chatgpt
- llm
- python
- rag
- long-term-memory
- 10bojieli/ai-agent-book★ 52,479 · ⑂ 5,924
《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码
- agent
- agent-memory
- ai-agent
- book
- coding-agent
- context-engineering
- Live search
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- 11run-llama/llama_index★ 52,412 · ⑂ 8,284
LlamaIndex is the document processing platform for AI
- agents
- application
- data
- fine-tuning
- framework
- llamaindex
- 12langchain-ai/langgraph★ 42,744 · ⑂ 7,267
Build resilient agents.
- agents
- ai
- ai-agents
- chatgpt
- deepagents
- enterprise
- 13HKUDS/DeepTutor★ 40,821 · ⑂ 5,154
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.
- ai-tutor
- deepresearch
- interactive-learning
- multi-agent-systems
- rag
- ai-agents
- 14HKUDS/LightRAG★ 39,987 · ⑂ 5,663
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
- knowledge-graph
- large-language-models
- retrieval-augmented-generation
- genai
- graphrag
- llm
- 15VectifyAI/PageIndex★ 38,688 · ⑂ 3,351
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
- agentic-ai
- agents
- ai
- ai-agents
- context-engineering
- llm
- 16chatchat-space/Langchain-Chatchat★ 38,672 · ⑂ 6,257
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
- chatglm
- langchain
- llm
- knowledge-base
- llama
- chatbot
- Live search
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- 17khoj-ai/khoj★ 37,561 · ⑂ 2,497
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
- semantic-search
- emacs
- obsidian-md
- chat
- chatgpt
- ai
- 18microsoft/graphrag★ 36,233 · ⑂ 3,833
A modular graph-based Retrieval-Augmented Generation (RAG) system
- graphrag
- rag
- llm
- llms
- gpt
- gpt-4
- 19virgiliojr94/book-to-skill★ 33,840 · ⑂ 3,539
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
- agent-skills
- ai-agents
- context-engineering
- document-processing
- edtech
- knowledge-base
Find Python engineers shipping RAG
The list above ranks the most-starred public Python repositories tagged with the RAG topic, drawn from the public GitHub graph. Across 1,118 matching repositories, the contributors are a tight cluster of engineers with both Python chops and real RAG experience.
That overlap is rare. Most Python engineers haven’t shipped RAG, and most RAG maintainers don’t write Python. The people on this list’s contributor graph are the ones who do both.
Refolk turns this list into a search. Ask for “Python RAG maintainers hiring” or “Python engineers shipping RAG in 2025” and Refolk returns a ranked shortlist with the commits, profiles, and projects behind each name.
How this list is built
Last refreshed: Mon, 05 Oct 2026 21:32:21 GMT
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Refolk runs natural-language searches across GitHub, LinkedIn, and the open web. Try one of these:
- Python RAG maintainers hiringRun
- Python RAG contributors in EuropeRun
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Related lists
- Python · Machine learning
- Python · Deep learning
- Python · Computer vision
- Python · Natural language processing
- Python · LLM
- Python · AI agents
- Python · Embeddings
- Python · Transformers
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Common questions
How are these repositories ranked?
By stars, with forks and recent activity as tiebreakers, read from the public GitHub API. The methodology section above has the details.
How fresh is the data?
The ranking re-renders at least daily. Last refreshed: Mon, 05 Oct 2026 21:32:21 GMT.
Can I find the maintainers and contributors behind these repos?
Yes. Stars rank the projects; I can rank the engineers - maintainers, top contributors, and the people they work with. You start with 500 free credits, no card required.
Can I use this list for hiring?
That's the point. I read hiring signals across GitHub, LinkedIn, and the open web, so a repo list turns into a shortlist of engineers worth talking to.
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Type one sentence. I plan the search, read GitHub, public LinkedIn and Crunchbase records, and the open web as it is right now, and hand back a ranked list with the reason next to every name.
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Ranked, with the reasoning under every name. Open a profile, ask a follow-up, narrow it down.
- Staff backend engineers in NYC who shipped Rust in production
- Series A fintechs in SF under 50 people, growing headcount this year
- Maintainers of fast-growing Rust web frameworks on GitHub
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