Vector Database Fundamentals (Coursera)

DeepLearning.AI course teaching six practical vector database applications using Pinecone, including RAG for LLMs, recommender systems, and hybrid search combining images and text.

Free online courses from Neo4j GraphAcademy teaching how to build RAG systems on knowledge graphs. Covers fundamentals of combining graph databases with vector search for more accurate and explainable AI applications.

Free comprehensive course from Activeloop with 60+ lessons and 10+ practical projects, teaching production-ready LLM applications with vector databases, trusted by 10,000+ engineers.

A CVPR 2020 tutorial on large-scale image retrieval in unconstrained environments, including methods and system considerations for vector-based image search relevant to vector database and ANN applications.

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.