AI large language model RAG retrieval enhancement generation flow chart

2024-11-29   4  Report

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This flowchart illustrates the process of enhancing retrieval in AI large language models using RAG (Retrieval-Augmented Generation) techniques. It outlines the journey from user input to generating answers, emphasizing key steps such as vectorization, similarity search, and document chunk segmentation. The process begins with vectorizing the input question and conducting a similarity search in a vector database to identify the top relevant document chunks. These chunks, combined with the user’s question, form a prompt for the language model, ultimately generating a precise answer. This structured approach ensures efficient and accurate information retrieval.

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Vector database

Documents

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output

Use Prompt +Relevant chunks +QuestionRequest LLM

Answer

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