rag
Retrieval-augmented generation
Topics
- EmbeddingsAn embedding is a vector (a list of numbers) that represents the meaning of a piece of text, image, or other data. Items with similar meaning end up close together in vector space, so "find…
- Retrieval-augmented generation (RAG)RAG answers a question by first retrieving relevant information from an external source and then giving it to the model as context. It keeps answers current, grounded, and citable without…
Sources
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskspaper · Lewis et al. (Facebook AI Research) · 22 May 2020