Marqo is an open-source neural search engine that leverages vector representations to enable semantic search over textual data. It abstracts vector database complexity and provides a high-level interface for building advanced search applications.

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

An open-source library for creating, storing, and searching multimodal data and vector embeddings, supporting AI and ML workflows.

Havenask is an open-source distributed search engine with support for vector search, designed for large-scale AI and search 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.