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AnythingLLM is an open-source AI application that integrates with vector databases to facilitate storage and retrieval of embeddings, supporting various AI and LLM workflows.

Apache Arrow is a cross-language development platform for in-memory data that is commonly used to facilitate efficient integration between vector databases and machine learning frameworks. It provides a standardized format for data exchange that is useful for storing and querying high-dimensional vectors in AI applications.

Arroy is an open-source library for efficient similarity search and management of vector embeddings, useful in vector database systems.

Bleve is an open-source search library with experimental support for vector search, enabling hybrid search and retrieval in applications.

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

cuVS is an open-source library from RAPIDS for fast, GPU-accelerated vector search, useful for building high-performance vector databases.

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

Epsilla is an open-source vector database optimized for high-performance similarity search and scalable storage of vector embeddings.

A platform focused on transforming AI/ML operations with transparency, control, and cost optimization, including support for vector database tasks.