txtai

PromptTools provides open-source tools for prompt testing and experimentation, supporting multiple LLMs (OpenAI, LLaMA) and vector databases (Chroma, Weaviate, LanceDB) to help developers systematically evaluate and optimize RAG systems.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications. Rich notebook examples for learning AI engineering practices.

A Python library by Google for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization, designed for data annotation and knowledge extraction workflows.

A MemAgent framework that can extrapolate to 3.5M context tokens, along with a training framework for RL training of any agent workflow.