The open source platform for AI-native application development.
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The open source platform for AI-native application development.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python dependency.
Open-source multimodal retrieval engine (Morphik Core)
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
[KDD'2026] "VideoRAG: Chat with Your Videos"
Open-source inference server and production cluster for all the models your agent needs.
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)
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.
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
中文langchain项目|小必应,Q.Talk,强聊,QiangTalk
All-in-one platform for search, recommendations, RAG, and analytics offered via API
Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
和国产大模型相关的免费工具集
Vim plugin for LLM-assisted code/text completion
ggml speech-to-text inference for 16+ model families
llama and other large language models on iOS and MacOS offline using GGML library.
[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
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.
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.