{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"RAG Pipeline — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

RAG Pipeline

The end-to-end technical system that implements retrieval-augmented generation, combining a retrieval component that fetches relevant documents from a knowledge base with a language model that uses those documents to generate grounded, accurate responses. Building a reliable RAG pipeline involves decisions about chunking, embedding, indexing, retrieval, and prompting.

Source: gaks.ai/glossary/rag-pipeline →
"}