How I Built a 768-Dimensional Vector Search Engine with Node.js, TypeScript, and Supabase

How paragraph-aware chunking, embeddings, and PostgreSQL pgvector can make AI retrieval more efficient. When you build an AI application that needs to work with large documents, one problem shows up quickly: how do you give an LLM the information it needs without sending the entire document with every request? Sending more text isn't always the... Weiterlesen: How I Built a 768-Dimensional Vector Search Engine with Node.js, Type…