retrieval-augmented-generation

The open source platform for AI-native application development.

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Everything you need to know to build your own RAG application

Harness LLMs with Multi-Agent Programming

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

[KDD'2026] "VideoRAG: Chat with Your Videos"

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

Open-source inference server and production cluster for all the models your agent needs.

All-in-one platform for search, recommendations, RAG, and analytics offered via API

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

Distributed vector search for AI-native applications

NestJS Helper + AI Chatbot Development

[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

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.