Skip to content

Younes-Piro/DS_interview_RAG

About

This project gathers data from data science interviews, storing it in a ChromaDB using vector embeddings. Leveraging a Large Language Model (LLM), it functions as a Retrieval-Augmented Generation (RAG) system to answer questions based on this interview data.

Topics

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors