Skip to content

Latest commit

 

History

History
15 lines (12 loc) · 645 Bytes

README.md

File metadata and controls

15 lines (12 loc) · 645 Bytes
Raw

simple_rag_application

This Repo includes a RAG (Retrieval Augmented Generation) Application that uses information of the LangChain documentation that are stored in a local vector database. Use this to executes querys to OpenAIs GPT-3.5 that will be expanded with related information from the database.

Setup

  • Install requirements
  • Create .env file with OPENAI_API_KEY variable

VertorDB

  • Database should be available in .DS_Store folder
  • Otherwise create the database by exection of the createVectorStorage.py file

Usage

  • The promp for a request can be defined in main.py
  • Then run main.py to start the request