The Retrieval Augmented Generation (RAG) approach proceeds by: (1) the retriever fetching a fixed number of relevant documents based on a query, (2) concatenating these documents, and (3) passing them to an LLM-based text generator to produce an answer.

Authors

• Person: Not available Organization: arXiv
  Bridging the Gap Between LLMs and Evolving Medical Knowledge
• Person: Not available Organization: Amazon Web Services
  Reducing hallucinations in large language models with custom ...

Sources

• Bridging the Gap Between LLMs and Evolving Medical Knowledge arxiv.org arXiv via serper
• Reducing hallucinations in large language models with custom ... aws.amazon.com Amazon Web Services via serper

Referenced by nodes (1)

• Retrieval-Augmented Generation (RAG) concept