What is a Retrieval Augmentation Pipeline?

Retrieval Augmentation Pipeline integrates retrieval systems and generative models to produce knowledge-grounded outputs. The pipeline retrieves relevant information from sources like vector databases or knowledge graphs and passes it to a generative model to produce accurate and contextually rich responses.

This approach is widely used in frameworks like retrieval-augmented generation (RAG) and context-aware generation, ensuring responses are factual and relevant.