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A course focused on mastering multimodal Retrieval Augmented Generation (RAG) and embeddings, which are fundamental components often stored and managed by vector databases.

A collection of examples and guides from OpenAI, including best practices for working with embeddings, which are fundamental to vector search and vector database applications.

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.

A set of libraries and methods focused on hashing for similarity search in vector databases, directly impacting the performance of large-scale vector search systems.

Kinomoto.Mag AI is a blog focused on AI tools, news, and tutorials, including curated lists of vector databases for AI applications. It serves as a resource hub for those interested in the latest innovations in vector databases and AI technologies.

A curated list of awesome projects and research related to vector search, including dedicated vector databases, vector search libraries, performance benchmarks, and cost analysis resources.

A curated collection of open-source vector database projects, providing a centralized list for exploring and comparing solutions designed for vector search and AI applications.

A collection of resources, libraries, and databases focused on handling and searching multidimensional vector data, directly relevant for storing and querying vector embeddings in AI-powered applications.