向量数据库

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

A library for efficient similarity search and clustering of dense vectors.

TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

A modern replacement for Redis and Memcached

Search infrastructure for AI

The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

Open-source vector similarity search for Postgres

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

🌌 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.

OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.

One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.

Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.

MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

The AI search platform

Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.

A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.

Apache Pinot: a real-time analytics database for low-latency SQL and vector search, serving user-facing and agent-facing applications

Go Open Source, Distributed, Simple and fastest efficient text/vector Search Engine

Header-only C++/python library for fast approximate nearest neighbors

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

ACID Document Database

The Best GUI for Milvus

AI agent microservice

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).

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

OpenCode plugin that gives coding agents persistent memory using local vector database

JVector: the most advanced embedded vector search engine

Template for building your own custom ChatGPT style doc search powered by Next.js, OpenAI, and Supabase.

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.

Collections of vector search related libraries, service and research papers

MemFree - Hybrid AI Search Engine & AI Page Generator

A simple, fast and versatile Datalog database

Python SDK for Milvus Vector Database

Python client for Qdrant vector search engine

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Infinispan is an open source data grid platform and highly scalable NoSQL cloud data store.

Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in the cloud at https://endee.io and under the Endee Enterprise license. Free 30-day evaluation: https://docs.endee.io/v2/quick-start/enterprise

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.