Vearch is a distributed vector search engine designed for AI-native applications, enabling scalable and efficient similarity search across large datasets.

Crate is an open-source distributed SQL database with support for vector data types and vector search, suitable for AI-driven applications.

MeiliSearch is an open-source, fast, and relevant search engine that supports vector search capabilities, making it suitable for AI applications requiring vector database functionality.

Valkey is an open-source in-memory key-value data store that supports vector search operations, making it useful for AI and machine learning vector database workloads. It is also a specialized open-source vector database designed for efficient management and retrieval of high-dimensional vector data, offering advanced APIs and optimized storage for AI workloads.

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.

Deep Lake is a vector database designed as a data lake for AI, capable of storing and managing vector embeddings, text, images, and videos. It utilizes a tensor format for efficient querying and integration with AI algorithms, making it suitable for similarity search and machine learning workflows. It is open-source and tailored for handling unstructured and multimodal data, with seamless integration with frameworks like PyTorch and TensorFlow.