RAG and AI agents solve different problems. Learn how each architecture works, their key differences, when to use RAG or AI agents, and when combining both makes sense.

Do you really need a dedicated vector database for your AI application? Learn how PostgreSQL with pgvector handles embeddings, similarity search, RAG, metadata filtering, and when specialized vector infrastructure actually makes sense.

Learn how vector databases work from a backend developer’s perspective, including embeddings, similarity search, ANN indexes, RAG, pgvector, and when you actually need a dedicated vector database.