Retrieval-Augmented Generation grounds a language model in enterprise data without requiring the model itself to memorize every document or update.
Ingestion
A typical pipeline loads, cleans, chunks, embeds and stores content. Chunking strategy and metadata directly affect retrieval quality.
Retrieval
Modern RAG systems combine dense vector search with sparse retrieval, re-ranking and query transformation when needed.
Evaluation
Production teams need repeatable evaluation using golden datasets and metrics for faithfulness, answer relevance and context quality.