A cloud-native, high-performance vector database for billion-scale vector search.
🗄️ Vector Databases
Vector search and search engines such as Milvus, Qdrant and Chroma
All 1045🧠 Large Language Models 24🤖 AI Agents 162🧩 App Development Platforms 22📚 RAG & Knowledge Bases 48💬 Chat UIs & Clients 40🖥️ Local Inference & Deployment 88👨💻 AI Coding 97🛠️ Frameworks & SDKs 47🔌 MCP & Tool Ecosystem 36🎨 Image Generation 26🎬 Video Generation 17🎙️ Speech & Audio 45👁️ Computer Vision 26📄 Document Parsing & Scraping 25🗄️ Vector Databases 25🏋️ Training, Fine-Tuning & MLOps 71🧪 Evaluation, Observability & Safety 79🚪 API Gateways & Proxies 12🔎 Search & Deep Research 15⚙️ Deep Learning Libraries 58🏷️ Data & Annotation 32🔬 Industry & Science AI 34⚡ Productivity Tools 16
Rust 编写的高性能向量搜索引擎，支持过滤与混合检索。
面向 AI 的开源嵌入数据库，上手极其简单。
PostgreSQL 的向量相似度搜索扩展。
轻量快速的搜索引擎，支持混合语义搜索。
Meta 的高效相似度搜索与稠密向量聚类库。
快速、容错的开源搜索引擎，支持向量检索。
A vector index built on TurboQuant, written in Rust with Python bindings
开源向量数据库，原生支持混合搜索与多模态。
A lightweight, lightning-fast, in-process vector database
面向多模态 AI 的嵌入式向量数据库。
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
大模型语义缓存，降低调用成本与延迟。
可在任意平台运行的 SQLite 向量搜索扩展。
大规模向量、文本与结构化数据实时检索引擎。
HNSW 近似最近邻算法的 C++/Python 实现。
端到端的向量搜索引擎，内置嵌入生成。
小巧快速的向量搜索引擎。
More powerful, scalable vector retrieval in PostgreSQL.
Distributed vector search for AI-native applications
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
The backend agents build with - Multimodal database, orchestration, and serving in one file
Hopsworks - Data-Intensive AI platform with a Feature Store