Vector Databases Deep Dive

Master vector databases from fundamentals to production: embeddings, indexing strategies, similarity search algorithms, and building scalable semantic search systems. Course 10 · Build · 10 lessons · ~12h

Lessons

#	Lesson	Duration	Level
1	Introduction to Vector Databases	40 min	intermediate
2	Embeddings and Vector Representations	30 min	intermediate
3	Indexing Strategies for Vector Search	40 min	intermediate
4	Working with Pinecone	40 min	intermediate
5	ChromaDB and Open-Source Vector Databases	40 min	intermediate
6	Vector Database Schema Design	35 min	intermediate
7	Scaling Vector Search	35 min	advanced
8	Hybrid Search with Vector Databases	40 min	intermediate
9	Vector Database Evaluation and Testing	35 min	intermediate
10	Production Vector Database Patterns	40 min	advanced
Start here: Introduction to Vector Databases