Showing 1-15 of 15 projects
Vector database for AI applications
Fast, typo-tolerant search engine for building delightful search experiences
Weaviate is an open-source vector database that combines vector search with structured filtering and scalability.
Open-source embedded retrieval library for building multimodal AI search and recommendation systems.
A Rust-based, Elasticsearch-quality search engine for PostgreSQL, enabling fast, real-time analytics and HTAP use cases.
Semantic cache for large language models, fully integrated with LangChain and llama_index.
Open-source C++ library for fast, approximate nearest-neighbor search and clustering of vectors and objects
A lightweight ingestion library for fast, efficient and robust RAG pipelines
JVector is an advanced embedded vector search engine written in Java, optimized for similarity search and machine learning applications.
A highly scalable distributed vector search engine for high-dimensional data and AI applications.
Faster dot products and similarity metrics for various programming languages using SIMD instructions.
A curated collection of vector search-related libraries, services, and research papers for developers.
A WASM vector similarity search library written in Rust for building AI-powered search and recommendation features.
A high-performance vector search and full-text search database fork of ClickHouse, focused on use cases for AI and ML developers.
A Python package that makes similarity learning quick and easy using TensorFlow.
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