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Examples and guides for using the OpenAI API

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

The official Python library for the OpenAI API

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

A programming framework for agentic AI

LangSmith Client SDK Implementations

structured outputs for llms

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…

Fact-checking LLM outputs with self-ask

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

Supercharge Your LLM Application Evaluations 🚀

Evaluation and Tracking for LLM Experiments and AI Agents

Corrective Retrieval Augmented Generation

Official repo for "LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs".

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.

DSPy: The framework for programming—not prompting—language models

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Universal memory layer for AI Agents

Production-ready platform for agentic workflow development.

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…

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

An Open Large Reasoning Model for Real-World Solutions

This is the repo for the paper Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.

A curated list of Model Context Protocol (MCP) servers

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.