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.
- Updated
Oct 18, 2025 - Java
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.
VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN
Magna is an AI-powered embedding similarity search tool for searching within large documents.
Similarity detection for Github Issues + AI code reviews
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.
Lightfeed SDK to search and filter web data
A production-grade benchmarking suite that evaluates vector databases (Qdrant, Milvus, Weaviate, ChromaDB, Pinecone, SQLite, TopK) for music semantic search applications. Features automated performance testing, statistical analysis across 15-20 iterations, real-time web UI for database comparison, and comprehensive reporting with production.
Embedding Search sample with Voyager
Embedding Search sample with RediSearch
Add a description, image, and links to the embedding-search topic page so that developers can more easily learn about it.
To associate your repository with the embedding-search topic, visit your repo's landing page and select "manage topics."