A system that combines retrieval and generation processes to enhance AI model outputs with relevant knowledge.
More about 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.
