Redis is an open-source in-memory data structure server used as a cache, NoSQL database, message broker, search and vector query engine. The README covers key use cases, data types, client libraries, quick start, and source build instructions.
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THE FIRST COLLECTIONTypesense is a fast, typo-tolerant, in-memory fuzzy search engine designed as an open-source alternative to Algolia and a simpler alternative to Elasticsearch.
Dragonfly is an in-memory data store presented as a modern Redis and Memcached replacement. It aims for API compatibility, high throughput, lower resource use, and features such as a shared-nothing architecture, adaptive caching, and fork-less snapshots.
An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows.
Databend is an open-source enterprise data warehouse built in Rust, featuring large-scale analytics, vector search, full-text search, and secure Python UDF sandboxes designed for AI workloads and data agents.
A lightning-fast search engine API providing AI-powered hybrid search, typo tolerance, and search-as-you-type capabilities for websites and applications.
Qdrant is a high-performance vector similarity search engine and database written in Rust, designed for AI applications requiring semantic search and large-scale vector management.
ParadeDB is a Postgres extension that integrates full-text search, vector retrieval, and analytics into a single database.
LEANN is a lightweight vector database designed for personal RAG applications, reducing storage requirements by up to 97% through graph-based selective recomputation.
FiftyOne is an open-source tool for building high-quality datasets and computer vision models. It enables users to visualize, label, evaluate, and curate visual AI data.