RAG Pipeline

You can use a retrieveriFull definition for retriever (opens in a new tab)A component that searches a data source and returns the information relevant to a query. Often used to provide context for a language model. as part of a RAGiFull definition for retrieval-augmented generation (opens in a new tab)Fetching relevant context from an external data source as additional context to inform a language model's response. (Retrieval-Augmented Generation) pipeline to provide context to a LLMiGo to glossary for large language model (opens in a new tab)A model trained on text to predict the next token, and so to generate language..

In this lesson, you will use the vector retriever you created to pass additional context to an LLM allowing it to generate more accurate and relevant responses.