Topics / #rag-pipeline

RAG pipeline projects on GitHub

Combining document retrieval with language models for grounded generation.

As of , the most-starred RAG pipeline projects on GitHub are RAG-Anything (23.6K stars), awesome-ai-apps (16.2K stars) and ragent (4.3K stars). GitHub.Locker tracks 6 RAG pipeline repositories with 52.4K stars combined. The fastest-growing on October 16 was RAG-Anything, with +62 stars in a day.

6Projects
52.4KStars in total
+118Stars in a day
Browse in the catalog →github.com/topics/rag-pipeline ↗

Hot right now

Most stars gained in a day · Oct 16

+62

RAG-Anything

HKUDS/RAG-Anything · ★ 23.6K

An all-in-one multimodal RAG framework built on LightRAG: it ingests real-world documents that mix text, images, tables and equations, then answers queries across all content types through one pipeline instead of separate specialized tools.

+37

awesome-ai-apps

Arindam200/awesome-ai-apps · ★ 16.2K

A curated collection of 132 projects, tutorials, and recipes for building LLM-powered applications - covering text agents, voice assistants, RAG apps, and MCP-backed tools.

+11

knowhere

Ontos-AI/knowhere · ★ 3.8K

Knowhere is an open-source document parsing and retrieval system: it ingests messy files and turns them into structured, navigable memory for AI agents, ready for agentic RAG and any LLM workflow.

+4

agentic-rag-for-dummies

GiovanniPasq/agentic-rag-for-dummies · ★ 4.3K

It is a learning project and modular codebase that shows how to build an Agentic RAG (Retrieval-Augmented Generation) system using LangGraph, including conversation memory and human-in-the-loop query clarification.

The all-time top

6 projects · by stars

  1. #1 · HKUDS/RAG-Anything

    RAG-Anything

    An all-in-one multimodal RAG framework built on LightRAG: it ingests real-world documents that mix text, images, tables and equations, then answers queries across all content types through one pipeline instead of separate specialized tools.

    23.6K
  2. #2 · Arindam200/awesome-ai-apps

    awesome-ai-apps

    A curated collection of 132 projects, tutorials, and recipes for building LLM-powered applications - covering text agents, voice assistants, RAG apps, and MCP-backed tools.

    16.2K
  3. #3 · nageoffer/ragent

    ragent

    Ragent is a production-grade Java platform for Agentic RAG, covering the full chain from document ingestion to intelligent Q&A — including hybrid retrieval, query rewriting, intent recognition, session memory, MCP tool calling and deep thinking.

    4.3K
  1. 4

    agentic-rag-for-dummies

    4.3KGiovanniPasq/agentic-rag-for-dummies · Jupyter Notebook

    It is a learning project and modular codebase that shows how to build an Agentic RAG (Retrieval-Augmented Generation) system using LangGraph, including conversation memory and human-in-the-loop query clarification.

  2. 5

    knowhere

    3.8KOntos-AI/knowhere · Python

    Knowhere is an open-source document parsing and retrieval system: it ingests messy files and turns them into structured, navigable memory for AI agents, ready for agentic RAG and any LLM workflow.

  3. 6

    ksor

    230panaversity/ksor · TypeScript

    KSoR is an open-source framework/SDK for building a single governed, authoritative knowledge record that both humans and AI agents read from, so agents stop improvising on scattered or conflicting information. It targets both enterprises (policies, procedures) and education institutions (curricula, grading rules).

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