A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
- search-engine
- typo-tolerance
- site-search
- database
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A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
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/
🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
A vector index built on TurboQuant, written in Rust with Python bindings
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.
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Find files with SQL-like queries
Object-storage native graph database with branching and typed ontology
:rocket: An open source alternative to searx which provides a modern-looking :sparkles:, lightning-fast :zap:, privacy respecting :disguised_face:, secure :lock: meta search engine
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
TypeQL: Built for systems, not records
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.
Blockchain Indexing Engine
An extra set of tools for managing Supabase projects going beyond the possibilities of regular Supabase CLI
Open-source streaming SQL engine written in Rust using Apache Arrow and DataFusion. Supports continuous queries, temporal stream joins, tumbling/session windows, and CDC/Kafka connectors. Lightweight, embeddable, and sub-microsecond latency
Split large SQL dump files into individual table files. Fast, memory-efficient, multi-dialect.