Vector RAG
You previously learned about Retrieval Augmented Generation (iFull 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.) and the role of iFull 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. in finding relevant information.
One of the challenges of RAG is understanding what the user is asking for and finding the correct information to pass to the iGo 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..
Join GraphAcademy to keep learning
Create your account to unlock 80+ hours of hands-on Neo4j courses, track your progress, and earn a certificate when you complete the course.
Sign in or register