Stars
Python tool for converting files and office documents to Markdown.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
The definitive Web UI for local AI, with powerful features and easy setup.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…
DSPy: The framework for programming—not prompting—language models
Code and documentation to train Stanford's Alpaca models, and generate the data.
A modular graph-based Retrieval-Augmented Generation (RAG) system
🤗 smolagents: a barebones library for agents that think in code.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
A lightweight, powerful framework for multi-agent workflows
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Advanced Python Mastery (course by @dabeaz)
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Large Language Model Text Generation Inference
Composable building blocks to build LLM Apps
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Build effective agents using Model Context Protocol and simple workflow patterns
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.