AutoRAG
活跃简介
AutoRAG 是开源 RAG 评估与优化框架,采用 AutoML 风格自动化流程,帮助开发者自动搜索最佳 RAG 管线配置并进行基准评测。
AutoRAG 是开源 RAG 评估与优化框架,采用 AutoML 风格自动化流程,帮助开发者自动搜索最佳 RAG 管线配置并进行基准评测。
PromptTools 是开源的提示词测试与实验工具集,支持多种 LLM(OpenAI、LLaMA)和向量数据库(Chroma、Weaviate、LanceDB),帮助开发者系统化评估和优化 RAG 系统。
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
A collection of projects showcasing RAG, agents, workflows, and other AI use cases with practical examples and tutorials.
A MemAgent framework that can extrapolate to 3.5M context tokens, along with a training framework for RL training of any agent workflow.