llamaindex

A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。

Build, Improve Performance, and Productionize your AI Application

📽️ Code from tutorials presented on the "Code AI with Rok" YouTube channel

Starter App to Build Your Own App to Query Doc Collections with Large Language Models (LLMs) using LlamaIndex, Langchain, OpenAI and more (MIT Licensed)

This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies.

XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation

This is a repository for the course "From Beginner to LLM Developer" by Towards AI.

Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP. 3,330+ conformance tests. One protocol. Any framework. Any provider.

LLM을 활용한 실전 AI 애플리케이션 개발

Python SDK for interacting with the MCP Toolbox for Databases.

⚡Ship RAG Solutions Quickly and effortlessly

Pure Rust PDF library for AI/RAG: structure-aware chunking, no ML, no C deps.

Python, LlamaIndex, LangChain, 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco, Nuxeo DBs. 14 data sources (10 auto-sync), KG auto-building, Ontologies, LLMs, Docling, LlamaParse, LiteParse, GraphRAG, RAG, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, REST, MCP Server. Options: Langflow, CocoIndex

Python toolkit for Chinese LLMs, with flexible batch capacity, structured real-time visulization and automated accumulation for streaming, and explicit feedback on vendor-native parameter validation.

An agentic AI application that allows you to chat with your papers and gather also information from papers on ArXiv and on PubMed

This project enhances the construction of RAG applications by addressing challenges, improving accessibility, scalability, and managing data and user access. It uses Django, Llamaindex, and Google Drive for effective database management.

Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases

Open Source, Self-Hosted, AI Search and LLM.txt for your website

Local llamaindex RAG to assist researchers quickly navigate research papers

A complete collection of RAG interview questions, answers (548 questions & 41 RAG types), system design scenarios, architecture patterns, and production-ready concepts.