Vector Databases

Production vector database engineering: APIs, embeddings, indexing, hybrid search, sharding, and evaluation.

Beginner

Vector Databases — Beginner

Foundational five-day path through vector databases, embeddings, knowledge graph basics, LLMs, and a first RAG pipeline.

5 lessons
Intermediate

Vector Databases — Intermediate

Production indexing, chunking, hybrid retrieval, multi-modal embeddings, and the evaluation discipline that keeps retrieval honest.

5 lessons
Advanced

Vector Databases — Advanced

Distributed vector search, embedding fine-tuning, multi-vector retrieval, production evaluation, and a capstone production design.

5 lessons