Open-source vector similarity search for Postgres
- nearest-neighbor-search
- approximate-nearest-neighbor-search
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Open-source vector similarity search for Postgres
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
Header-only C++/python library for fast approximate nearest neighbors
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Database for Android and JVM - first and fast, lightweight on-device vector database
One proximity graph for vector search, sparse products & attention across RAM, VRAM & NVMe, over dense vectors, sequences, shapes & geospatial sets in 14 languages 🔍
Fast Library for Approximate Nearest Neighbors
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Swift database - fast, simple and lightweight (iOS, macOS)
Official library for RaBitQ vector quantization and approximate nearest-neighbor search, in C++ and Python.
A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.