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Cottontail DB is an open-source vector database for storing and searching high-dimensional data, with features geared towards research and production environments.
Vexvault is an open-source vector database designed for efficient storage, management, and similarity search of high-dimensional vector data.
An open-source library for approximate nearest neighbor search in high-dimensional spaces, often used as a backend for vector databases and search engines.
MRPT (Multi-Resolution Proximity Trees) is an open-source library for fast approximate nearest neighbor search in high-dimensional vector spaces, applicable to vector database backends.
ChromaDB (also known as Chroma or chroma-core) is an open-source vector database focused on LLM applications, emphasizing simplicity and in-memory HNSW-based dense vector search. It is suited for prototyping, metadata filtering, and offers a user-friendly interface for building and testing vector search applications, though it currently lacks hybrid and distributed features.
A distributed vector database designed for scalable and efficient vector similarity search. It is purpose-built for handling large-scale vector data and search workloads.
ClickHouse is an open-source column-oriented database that supports vectorized computation and now offers vector search features. Its architecture enables efficient real-time analytics and vector operations, making it a relevant choice for vector database use cases.
Category: Vector Database Engines
Tags: open-source, vector-databases, high-dimensional, vector-search
Cottontail DB is an open-source column store vector database designed for multimedia retrieval. It supports both classical boolean retrieval and vector-space (nearest neighbor) search for similarity queries, utilizing a unified data and query model. The system is intended for use in research and production environments involving high-dimensional data.
Cottontail DB is open-source software and is freely available under its open-source license.