Retrieval Augmented Generation ChatBot

ML

Overview

About the project

RAG chatbot that accurately answers questions by searching documents passed by user

Date
February 12, 2024
My Role
Developer

Retrieval Augumented Generation

workflow.png

Utilizing the LangChain framework1, I made use of the Retrieval Augumented Generation workflow2 to make a personalized chatbot proficient in accurately answering questions by accessing information in its vector store.

Sample Outputs

chat_1.png
chat_2.png
Output on Jupyter notebook

View source code on Github

References

  1. LangChain
  2. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks , H. Lewis et al