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A general-purpose analytical engine with built-in vector processing capabilities, excelling at traditional analytical workloads and efficient handling of vector operations. It is an example of a vector engine.

An open-source NLP framework for building end-to-end search systems, which can leverage vector search capabilities.

A powerful, open-source relational database that can be extended with modules like pgvector to support efficient storage and similarity search of vector embeddings, effectively functioning as a vector database.

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.

A curated list of vector database solutions, libraries, and resources tailored for AI applications. Categorizes items by license and type, providing a valuable directory for those seeking vector database technologies.

A data repository that powers the 'Awesome Vector Databases' curated list, collecting structured information about vector database solutions, libraries, and resources for AI applications. Directly supports the discovery and categorization of vector database tools.