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.

Learn how to build an MCP server with TypeScript, create tools, validate inputs, connect backend services, test with MCP Inspector, and prepare your server for production.