/LLM_DTC_workshop

Primary LanguageJupyter Notebook

RAG_QUESTIONAIRE_workshop

Tutorial reference: https://github.com/alexeygrigorev/llm-rag-workshop

Process Flow

  1. Input: Questions are provided as input.
  2. Look-up Question: The questions are looked up in the database using Elastic Search.
  3. Provide Results: Different results are generated based on the search query.
  4. Prompt LLM: The language learning model (LLM) is prompted to answer the questions using the results.
  5. Output: The LLM provides answers based on the results.

So need to build:

  • Database
  • Promt/llm
  • Orchestrator