数据库/存储排行

Open-source, S3-native vector and full-text search engine. Fast, cheap, self-hostable.

Upload & Merge CSV or JSON Data with Images to Notion Database

Cottontail DB is a column store vector database aimed at multimedia retrieval. It allows for classical boolean as well as vector-space retrieval (nearest neighbour search) used in similarity search using a unified data and query model.

Embedded-first vector database that grows into a self-hosted service and lightweight cluster.

a vector embedding database with multiple storage engines and AI embedding integrations

A hex-native embedded database for Go. Morton keys, native ring scans, seams (contradictions), MVCC, provenance, and optional HNSW embeddings. Built from scratch for lattice-addressed memory.

Absurdly fast embedded graph database with built-in vector search. Rust core, Node.js and Python connectors, GQL, graph algorithms, all in-process with no server.

A high-performance, in-memory vector database written in Rust, designed for semantic search and top-k nearest neighbor queries in AI-driven applications, with binary file persistence for durability.

🐬 Formation MariaDB 12.3 LTS : SQL, index, transactions, réplication, Galera, MaxScale, DevOps/Kubernetes et MariaDB Vector (IA/RAG). 20 modules.

A filesystem-native vector database built around Markdown files. For AGENTS and MEMORY in mind. CLI first, folder based, no servers, no containers. Build with Rust for Performance.

Our powerful image search engine uses vector databases to store and search for similar images. Upload your images and use an input image to quickly identify the closest matches. With our app, you can easily organize and search your image collection with speed and accuracy. Try it today!

Embedded database for agentic memory — relational, graph, and vector under unified MVCC transactions

A multimodal database engine written in Nim

PostgreSQL-native semantic search engine with multi-modal capabilities. Add AI-powered search to your existing database without separate vector databases, vendor fees, or complex setup. Features text + image search using CLIP embeddings, native SQL joins, and 10-minute Docker deployment.

The multi-paradigm database expert for Claude Code — design a schema, audit it on two never-blended scores (Design & Integrity / Performance & Scale), and safely migrate. SQL · document · key-value · vector · time-series · graph. Works offline.

Powerful VS Code extension for managing and querying Weaviate vector databases with an intuitive GraphQL UI. Supports both self-hosted and cloud Weaviate.

Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀

Vectorstores is a framework for using vector databases in your AI applications

HFCommunity offers an offline up-to-date relational database built from the data available at the Hugging Face Hub, providing queriable data about the repositories hosted in the Hub

KoutenDB: locality-aware NoSQL document/vector database built around rings and orbit-inspired retrieval