In a Retrieval-Augmented Generation (RAG) system, the process involves retrieving relevant context from a knowledge base for a user query, then feeding that context and the query into a Large Language Model (LLM) to generate a response.

Authors

• Person: Not available Organization: Cleanlab
  Real-Time Evaluation Models for RAG: Who Detects Hallucinations ...

Sources

• Real-Time Evaluation Models for RAG: Who Detects Hallucinations ... cleanlab.ai Cleanlab via serper
• Benchmarking Hallucination Detection Methods in RAG - Cleanlab cleanlab.ai Cleanlab via serper

Referenced by nodes (2)

• Retrieval-Augmented Generation (RAG) concept
• knowledge base concept