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A curated collection of papers and technical blogs focused on vector databases, semantic-based vector search, and approximate nearest neighbor search (ANN Search). These resources are essential for understanding and building large-scale information retrieval systems and vector databases.
A curated awesome list compiling resources, tools, vector databases, and research relevant to vector search and storage. Serves as a meta-resource for exploring the vector database ecosystem.
A curated collection of libraries, services, and research papers focused on vector search, including vector database technologies and related resources.
A collection of datasets curated by Intel Labs specifically for evaluating and benchmarking vector search algorithms and databases.
A curated GitHub repository of research papers and technical blogs focused on vector search, approximate nearest neighbor search (ANN Search), and vector databases. This resource serves as a comprehensive directory for foundational and cutting-edge research, making it highly relevant for anyone building or exploring vector database technologies.
Examples and resources for Weaviate, a popular open-source vector database optimized for storing and searching vector embeddings at scale.
A curated directory of resources, tools, tutorials, and libraries dedicated to vector databases, focusing on efficient data retrieval, similarity search, and machine learning applications.
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