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Personal-Chat-bot Using RAG 💁

Overview

Get instant insights from your Documents. This chatbot is built using the Retrieval-Augmented Generation (RAG) framework, leveraging Google's Generative AI model Gemini-2.5-flash. It processes uploaded PDF documents by breaking them down into manageable chunks, creates a searchable vector store, and generates accurate answers to user queries. This advanced approach ensures high-quality, contextually relevant responses for an efficient and effective user experience.

How It Works

Follow these simple steps to interact with the chatbot:

  1. Enter Your API Key: You'll need a Google API key for the chatbot to access Google's Generative AI models. Obtain your API key https://makersuite.google.com/app/apikey.

  2. Upload Your Documents: The system accepts multiple PDF files at once, analyzing the content to provide comprehensive insights.

  3. Ask a Question: After processing the documents, ask any question related to the content of your uploaded documents for a precise answer.

Outcome generated from my application

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