Stars
Simple, unified interface to multiple Generative AI providers
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
AdalFlow: The library to build & auto-optimize LLM applications.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A system for agentic LLM-powered data processing and ETL
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Robust Speech Recognition via Large-Scale Weak Supervision
TAG-Bench: A benchmark for table-augmented generation (TAG)
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
DSPy: The framework for programming—not prompting—language models
The Security Toolkit for LLM Interactions
A modular graph-based Retrieval-Augmented Generation (RAG) system
The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
https://graphacademy.neo4j.com/courses/llm-chatbot-python/
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A unified evaluation framework for large language models