rag

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.

制作懂人情世故的大语言模型 | 涵盖提示词工程、RAG、Agent、LLM微调教程

YouTube Full Text Search - Search all of YouTube from the command line

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

Fast BM25 search in Python, powered by Numpy and Numba

Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

Create characters in Unity with LLMs!

Building blocks for rapid development of GenAI applications

Trench — Open-Source Analytics Infrastructure. A single production-ready Docker image built on ClickHouse, Kafka, and Node.js for tracking events. Easily build product analytics dashboards, LLM RAGs, observability platforms, or any other analytics product.

A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.

Hivemind turns your traces into reusable skills across agents

[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.

Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !

Talk to your Mac, query your docs, no cloud required. On-device voice AI + RAG

A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data

When Philosophy meets AI

OpenSource Production ready Customer service with built in Evals and monitoring

Cache-Augmented Generation: A Simple, Efficient Alternative to RAG

AI video agents framework for next-gen video interactions and workflows.

Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

A conversational Q&A agent configuration system, self-hosted deployment solutions, and a convenient all-in-one application SDK, allowing you to create intelligent Q&A bots for your GitHub repositories