Containerized, state of the art Retrieval-Augmented Generation (RAG) system with a RESTful API
MTEB: Massive Text Embedding Benchmark
Study guides for MIT's 15.003 Data Science Tools
翻译 - 麻省理工学院15.003数据科学工具的学习指南
#向量搜索引擎# Fast, Accurate, Lightweight Python library to make State of the Art Embedding
#大语言模型# A realtime and indexing and structured extraction engine for Unstructured Data to build Generative AI Applications
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval