#搜索# Weaviate 是一个开源矢量数据库,它同时存储对象和矢量,允许将矢量搜索与结构化过滤与云原生数据库的容错和可扩展性相结合,所有这些都可以通过 GraphQL、REST 和各种语言客户端访问。
#自然语言处理# All-in-one 一站式 embedding 数据库,语义搜索、LLM 编排和语言模型workflows
#大语言模型# Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
#自然语言处理# Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.
#向量搜索引擎# 分布式近似最近邻搜索(ANN)库,为大规模向量搜索场景提供高质量的向量索引构建、搜索和分布式在线服务工具包。
#搜索# Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
#计算机科学# Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
#搜索# The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
#搜索# 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
翻译 - 🚀 用 Rust 编写的高效近似最近邻搜索算法集合库 🦀 。
#大语言模型# Production ready AI agent framework
#搜索# Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
#大语言模型# Template for building your own custom ChatGPT style doc search powered by Next.js, OpenAI, and Supabase.
#搜索# JVector: the most advanced embedded vector search engine
#计算机科学# Build LLM-powered applications in Ruby
#向量搜索引擎# Fast, Accurate, Lightweight Python library to make State of the Art Embedding
#向量搜索引擎# Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
#向量搜索引擎# A repository of code samples for Vector search capabilities in Azure AI Search.
#搜索# An open-source, high-performance SQL vector database built on ClickHouse.