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Overview

This is a 5G expert system. It uses retrieval augmented generation to augment the Q&A capabilities of an LLM.

Before you begin

Make sure you have a settings.yml file in the same directory as settings.py. It should have these vars:

  1. API_KEY
  2. DOC_DIR
  3. MODEL_NAME
  4. IS_PICKLE -> represents whether pickle mode is on. Pickling basically caches the documents as large byte fles so as to save on compute.

Running the system

Do python frontend.py

Dependencies

gradio langchain_openai langchain_community chromadb pypdf

Goals:

Get System working again Refactor & clean up Build automatic fetching of docs

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