JavaScript 3D Library.
- javascript
- 3d
- virtual-reality
- augmented-reality
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JavaScript 3D Library.
RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
TranslatedLangchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
A modular graph-based Retrieval-Augmented Generation (RAG) system
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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.
"RAG-Anything: All-in-One RAG Framework"
:a: Web framework for building virtual reality experiences.
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Efficient Augmented Reality for the Web - 60fps on mobile!
Unified framework for building enterprise RAG pipelines with small, specialized models
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Agent S: the state-of-the-art open source computer use agents
An open-source, tool-augmented conversational language model from Fudan University
Retrieval and Retrieval-augmented LLMs
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
Translated🧑🚀 Summary of the world's best LLM resources (multimodal generation, Agent, programming assistance, AI paper review, data processing, model training, model inference, o1 model, MCP, small language models, vision-language models)
Easily display interactive 3D models on the web and in AR!