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This survey paper provides an overview of the landscape, technologies, and applications of vector databases, making it a valuable resource for understanding the field.
A comprehensive academic survey that explores the architecture, storage, retrieval techniques, and challenges associated with vector databases. It categorizes algorithmic approaches to approximate nearest neighbor search (ANNS) and discusses how vector databases can be integrated with large language models, offering valuable insights and foundational knowledge for understanding and building vector database systems.
This ACL 2023 tutorial reviews retrieval-based language models, which often rely on vector databases and vector search systems to retrieve relevant context. The tutorial covers methods and applications central to the use of vector databases in modern NLP systems.
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.
Cottontail DB is an open-source vector database for storing and searching high-dimensional data, with features geared towards research and production environments.
A cloud-native vector database management system designed for efficient storage and retrieval of vector embeddings. Directly relevant as a vector database platform.
Milvus CDC (Change Data Capture) is a component of the Milvus ecosystem that enables data synchronization between Milvus and other systems. It is useful for maintaining up-to-date vector data pipelines and supporting real-time vector search applications.
Milvus CLI is a command-line interface for managing and interacting with Milvus vector databases, allowing users to perform database operations and manage collections efficiently.