#Llama-index
Showing 50 of 50 repositories tagged #llama-index, ranked by stars
๐ชข Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. ๐YC W23
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
๐ๅคงๆจกๅๅบ็จๅผๅๅฎๆไธ๏ผRAG ๆๆฏๅ จๆ ๆๅ๏ผๅจ็บฟ้ ่ฏปๅฐๅ๏ผhttps://datawhalechina.github.io/all-in-rag/
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
๐ง Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 ๐
Data framework for your LLM applications. Focus on server side solution
๐ง AI-powered enterprise search engine ๐
๐ฌ RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram
Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, speech synthesis and recognition, web search, memory, presets, assistants,and more. Linux, Windows, Mac
A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents
The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.
Ship RAG based LLM web apps in seconds.
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
Chat with multiple PDFs locally
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.
Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.
Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama.
FinSight - Financial Insights at Your Fingertip: FinSight is a cutting-edge AI assistant tailored for portfolio managers, investors, and finance enthusiasts. It streamlines the process of gaining crucial insights and summaries about a company in a user-friendly manner.
ChatGPT for lecture slides
๐ค DocsMind allows you to chat with your docs and summarize your docs, support pdf, md.
This open source chatbot project lets you create a chatbot that uses your own data to answer questions, thanks to the power of the OpenAI GPT-3.5 model.
An End to End GenAI Framework
Complete example of how to build an Agentic RAG architecture with Redis, Amazon Bedrock, and LlamaIndex.
Backend for SlideSpeak. Create PowerPoints with AI. Get summaries, ask questions, create presentations and more.
Awesome LLM application repo
The AI runtime that turns your framework functions into OpenAI compatible endpoints
This sample shows how to quickly get started with LlamaIndex.ai on Azure ๐
smart-llm-loader is a lightweight yet powerful Python package that transforms any document into LLM-ready chunks. Spend less time on preprocessing headaches and more time building what matters. From RAG systems to chatbots to document Q&A, SmartLLMLoader handles the heavy lifting so you can focus on creating exceptional AI applications.
High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing โก
This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.
World-class multimodal RAG system for financial document analysis. Built to production standards: async, observable, secure, multi-tenant, CI-gated.
The ChatGPT Long Term Memory package is a powerful tool designed to empower your projects with the ability to handle a large number of simultaneous users and external sources.
Simple RAG tutorials that can be run locally or using Google Colab (only Pro version).
Langchain Models for RAGs and Agents
Performing a RAG (Retrieval Augmented Generation) assessment using voice-to-voice query resolution. Provide the file containing the queries, ask the questions, and receive the results via voice.
Frontend for SlideSpeak. Create PowerPoints with AI. Get summaries, ask questions, create presentations and more.
MovieGPT: A RAG, Gen AI application for Movie Recommendations
Enhance your knowledge in medical research with the help of LLM and RAG.
RAG - Add Your Own Data to LLMs Using LangChain & LlamaIndex
This is a LlamaIndex project bootstrapped with create-llama to act as a full stack UI to accompany Retrieval-Augmented Generation (RAG) Bootstrap Application.
Simple, High Quality, Open Source RAG solution for chatting with your documents
LightweightEmbeddings is a fast, free, and unlimited API service for multilingual embeddings and reranking, with support for both text and images and guaranteed uptime.
Interactive chat application leveraging OpenAI's GPT-4 for real-time conversation simulations. Built with Flask, this project showcases streaming LLM responses in a user-friendly web interface.
A Flask Server Demo Application showing off some llama-index LLM prompt magic, including file upload and parsing :)