Part IV — Advanced Topics & Research Frontiers

This section explores the cutting edge — where vector databases intersect with privacy, continual learning, LLM agents, and emerging hardware paradigms.

Chapters

#	Chapter	Key Topics
18	Privacy-Preserving Search	Homomorphic encryption, MPC, differential privacy
19	Continual & Online Learning	Embedding updates without re-indexing, forgetting mitigation
20	Vector DBs for Gen-AI Agents	RAG pipelines, agentic memory, prompt-time reranking
21	Future Directions	Learned indexing, vector SQL, neuromorphic accelerators
22	Advanced Open Source DBs	LanceDB, Vespa, Vald, USearch, pgvector internals
23	Real-World Case Studies	Search architectures at Spotify, Pinterest, and OpenAI
24	In-Database ML & Feature Stores	PostgresML, Featureform, virtualization