Skip to content

amirulazreen/RAG

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Retrieval Augmented Generation

Create AI chat bot with RAG using LllamaIndex

Why RAG?

If you want to build a chat bot that can answer specific questions then RAG is your best bet
RAG is a solution to inaccurate answers (hallucinate) given by AI chat bot using LLM like OpenAI

How does it work?

We prepare a dataset and store it in a vector database
The vector database is a storage to store data in the form of embeddings (numerical representation of data)
The AI chatbot using LLM will refer to the vector database to answer questions. Hence, the ability to answer specific questions

Requirements

  • OpenAI key
  • Dataset in the form of txt file

The example dataset are taken from the article below

Proton S70 Malaysian review

About

Retrieval Augmented Generation Databases

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages