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Deep Learning for Search

Applied book on using deep learning for search, including dense vector representations, semantic search, and neural ranking, all directly relevant to building applications on top of vector databases.

Introduction to Information Retrieval

Foundational IR textbook that includes content on vector‑space models and retrieval, providing essential background for understanding vector search and hybrid retrieval in modern vector databases.

Hashing

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

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.

Quantization

Resources and tools on quantization techniques for vectors, which are essential for optimizing storage and retrieval in vector databases.

Systems

A focused category on complete vector database systems, their architectures, and implementations, directly relevant to anyone seeking production-ready vector database solutions.

Tree-based Methods

A curated list of tree-based approaches and systems for vector indexing and search, foundational for certain types of vector databases.

VectorDB.Works

A web-based directory of vector database solutions, libraries, and resources for AI applications, serving as an accessible resource for exploring and comparing vector databases.

VectorHub

VectorHub is a resource and learning platform for developers and ML architects interested in integrating vector retrieval and search capabilities into their machine learning stacks, directly supporting vector database adoption and usage.

weaviate-examples

Examples and resources for Weaviate, a popular open-source vector database optimized for storing and searching vector embeddings at scale.

OpenAI Cookbook

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.

Awesome Vector Databases

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.

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