llamaindex
There are 288 repositories under llamaindex topic.
run-llama/llama_index
LlamaIndex is the leading framework for building LLM-powered agents over your data.
FlowiseAI/Flowise
Build AI Agents, Visually
huggingface/agents-course
This repository contains the Hugging Face Agents Course.
Arize-ai/phoenix
AI Observability & Evaluation
run-llama/rags
Build ChatGPT over your data, all with natural language
ragapp/ragapp
The easiest way to use Agentic RAG in any enterprise
getzep/zep
Zep | Examples, Integrations, & More
run-llama/LlamaIndexTS
Data framework for your LLM applications. Focus on server side solution
LazyAGI/LazyLLM
Easiest and laziest way for building multi-agent LLMs applications.
run-llama/llama_deploy
Deploy your agentic worfklows to production
datawhalechina/handy-ollama
动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
signerlabs/Klee
Secure and local AI on your desktop with a built-in RAG knowledge base and Markdown note support.
LLPhant/LLPhant
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
SamurAIGPT/GPT-Agent
🚀 Introducing 🐪 CAMEL: a game-changing role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT! Watch two agents 🤝 collaborate and solve tasks together, unlocking endless possibilities in #ConversationalAI, 🎮 gaming, 📚 education, and more! 🔥
onlyphantom/llm-python
Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone
ritchieng/deep-learning-wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
Arize-ai/openinference
OpenTelemetry Instrumentation for AI Observability
towardsai/ragbook-notebooks
Repository for the "Building LLMs for Production" book by Towards AI.
apocas/restai
RESTai is an AIaaS (AI as a Service) open-source platform. Built on top of LlamaIndex & Langchain. Supports any public LLM supported by LlamaIndex and any local LLM suported by Ollama/vLLM/etc. Precise embeddings usage and tuning. Built-in image generation (Dall-E, SD, Flux) and dynamic loading generators.
LangStream/langstream
LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.
grll/mcpadapt
Unlock 650+ MCP servers tools in your favorite agentic framework.
SamurAIGPT/LlamaIndex-course
Learn to build and deploy AI apps.
palico-ai/palico-ai
Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework
JSv4/Delphic
Starter App to Build Your Own App to Query Doc Collections with Large Language Models (LLMs) using LlamaIndex, Langchain, OpenAI and more (MIT Licensed)
jlonge4/local_llama
This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies.
wzdavid/ThinkRAG
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。
rokbenko/ai-playground
Code from tutorials presented on the "Code AI with Rok" YouTube channel
neoneye/PlanExe
Convert your idea to a plan
towardsai/ai-tutor-rag-system
This is a repository for the course "From Beginner to LLM Developer" by Towards AI.
onlybooks/llm
LLM을 활용한 실전 AI 애플리케이션 개발
adithya-s-k/RAG-SaaS
⚡Ship RAG Solutions Quickly and effortlessly
ammirsm/llamaindex-omakase-rag
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.
marklysze/LlamaIndex-RAG-WSL-CUDA
Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B
sauravjoshi23/towards-agi
A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI)
aiplaybookin/novice-ChatGPT
ChatGPT API Usage using LangChain, LlamaIndex, Guardrails, AutoGPT and more
timescale/vector-cookbook
Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.