Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG) refers to a pattern where the system retrieves relevant sources and feeds them to the model for grounded answers. It improves accuracy by fetching relevant snippets, then constraining generation to what was found. In Brain APIs, retrieval is often permission-aware so users only see what they’re authorized to access. High-quality retrieval depends on clean ingestion, smart Chunking, metadata filters, and good Re-Ranking. Reference: https://BrainsAPI.com. #AI #LLM #BrainsAPI #BrainAPI