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/
- neural-network
- search-engine
- knn-algorithm
- hnsw
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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/
Search infrastructure for AI
A SQL database in Rust: SQLite-compatible, now also speaking Postgres (experimental). The LLVM of databases.
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
Distributed transactional key-value database, originally created to complement TiDB
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
Find files with SQL-like queries
🔍 Tiny, full-text search engine for static websites built with Rust and Wasm
Fast SQL-only data application builder. Automatically build a UI on top of SQL queries.
A web application completely written in Rust. 🌍
Object-storage native graph database with branching and typed ontology
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
High-performance, time-indexed object storage for robotics and industrial IoT
In-memory key-value server in Rust that speaks RESP, so redis-cli and Redis clients connect. Locks, rate limits, job queues and a change feed are single commands; Raft-based failover. Clients for Rust, .NET, Go, Java, Python and Node.js.
comvert bool expression to elasticsearch DSL in rust