#Llamaindex
Showing 60 of 70 repositories tagged #llamaindex, ranked by stars
LlamaIndex is the leading document agent and OCR platform
AI Observability & Evaluation
Build ChatGPT over your data, all with natural language
The easiest way to use Agentic RAG in any enterprise
Easiest and laziest way for building multi-agent LLMs applications.
Data framework for your LLM applications. Focus on server side solution
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
Deploy your agentic worfklows to production
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
Repository for the "Building LLMs for Production" book by Towards AI.
ParseBench - A Document Parsing Benchmark for AI Agents
RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generation with dynamic loading generators. Live chat deployment. Built-in block based graphical language. Prompt versioning and much more...
A robust enterprise application sample (deployed on ACA) that leverages MCP and multiple AI agents orchestrated by Langchain.js, Llamaindex.TS and Microsoft Agent Framework.
LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.
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
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.
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
⚡Ship RAG Solutions Quickly and effortlessly
Pure Rust PDF library for AI/RAG: structure-aware chunking, no ML, no C deps.
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.
Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco DBs. 13 data sources (9 auto-sync), KG auto-building, Ontologies, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, FastAPI REST backend, MCP Server.
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
XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation
Self-hosted RAG search engine — 34 formats, BM25+hybrid search, multi-LLM (Gemini/OpenAI/Claude/Ollama), FastAPI + Docker, production-ready in 3 min
Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs.
From data to vector database effortlessly
The library for character-driven AI experiences.
linkedin-jobs-RAG
大型語言模型(LLM)的讀書會內容code部分整理，此github提供簡單、免費、易實作code範例，並由淺入深帶你一步步了解如何基於python建置LLM流程、部屬功能等
Examples and code snippets demonstrating common ways of integrating Neon with various frameworks and languages.
A complete collection of RAG interview questions, answers (418 questions & 29 RAG types), system design scenarios, architecture patterns, and production-ready concepts.
BrainX 是一个智能系统，分析各种媒体格式，整合到知识库，并生成定制内容，包括机器人、洞察和媒体。它旨在为用户提供个性化和自动化的解决方案。
Ready-to-run examples showing NoPII PII protection with OpenAI, Anthropic, LangChain, LlamaIndex, and more
Agentic AI-driven Quantitative Alpha Builder. Streamline alpha generation with autonomous research navigation and backtesting.
GenAI Experimentation
Build document-native LLM applications
AI Engineering Specially Topics- Agentic AI & GenAI Explanation
Agentic RAG to help you build a startup🚀
This project is a comprehensive recruitment and interview assistance system developed based on large models and agents, leveraging the langgraph and llamaindex agent frameworks. It aims to enhance job search efficiency and interview performance by automating and intelligentizing the entire interview process. it is China Software Cup A3 competition
A virtual agent for your virtual books📚
Designed for offline use, this RAG application template offers a starting point for building your own local RAG pipeline, independent of online APIs and cloud-based LLM services like OpenAI.
Convert Confluence MIME exports (.doc) to clean Markdown
LLM Chatbot w/ Retrieval Augmented Generation using Llamaindex. It demonstrates how to impl. chunking, indexing, and source citation.
A framework for hosting and scaling AI agents.
Diagnose the performance of your RAG🩺
RE:从0开始的RAG学习生活。包含LangChain、LangGraph、LangSmith、PydanticAI等框架和工具的学习教程。
The Smart Marketing Assistant is an innovative project that leverages AI agents to automate tasks within an Instagram marketing workflow. This project aims to streamline and optimize various marketing activities, providing users with a powerful tool to enhance their social media strategies.
Fluent CLI is an advanced command-line interface designed to interact seamlessly with multiple workflow systems like FlowiseAI, Langflow, Make, and Zapier. Tailored for developers and IT professionals, Fluent CLI facilitates robust automation, simplifies complex interactions, and enhances productivity through a powerful and command suite
Learn how to talk to Django as any human should -- e.g. Semantic Search and Text-to-SQL.