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retrieval-augmented-generation GitHub repositories

Explore 40 tracked GitHub repositories tagged retrieval-augmented-generation. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 477 stars since the previous daily snapshot.

Tracked repositories
40
Total stars
405,700
Stars gained · 7 days
+2,027
Stars gained · 30 days
+8,285

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Star activity for retrieval-augmented-generation repositories on this page
RepositoryTotal starsToday7 days30 days
StarTrail-org/LEANN13.5K+190+463+535
FlagOpen/FlagEmbedding12.3K+96+96+96
VectifyAI/PageIndex39.8K+55+471+3,966
infiniflow/ragflow93.0K+55+420+1,601
NirDiamant/RAG_Techniques30.0K+22+106+436

Explore repositories

Showing 1–40 of 40 tracked repositories.

deepset-ai/haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

NVIDIA-AI-Blueprints/video-search-and-summarization

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.

Bessouat40/RAGLight

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.