The Excellence
Directory Platform Template

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.

Module of Google’s Machine Learning Crash Course that explains word and text embeddings, how they are obtained, and the difference between static and contextual embeddings, giving essential background for using vector representations in vector databases and similarity search systems.

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.