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Icyco

Meet Icyco, your friendly AI assistant ready to scoop up answers to all your Icyco ice cream queries! ๐Ÿฆ This console-based AI-powered Question Answering system uses Retrieval-Augmented Generation (RAG) to provide accurate information on flavors, services, events, policies, and more, all based on Icyco's internal documents. Powered by Google Generative AI, LangChain, and Pinecone for fast and relevant results.

High Level Design Overview of AI Assistant

High_Level_Design_Assistant

QA assistant for Icyco

Icyco QA Assistant is an console based AI-powered Question Answering system built for the fictional ice cream shop . It uses Retrieval-Augmented Generation (RAG) to provide accurate answers based on company documents like policies, product information, and FAQs.


๐Ÿง  Features

  • ๐Ÿ’ฌ Ask questions about Icycoโ€™s products, pricing, policies, etc.
  • ๐Ÿ“„ Ingests and processes internal documents (PDFs)
  • ๐Ÿ” Retrieves relevant information using semantic search
  • ๐Ÿค– Generates answers using Google Generative AI
  • โšก Fast and responsive user experience with LangChain and Pinecone

๐Ÿ› ๏ธ Tech Stack


๐Ÿš€ Getting Started

1. Fork and Clone the repo

git clone https://github.com/your-username/icyco-qa-assistant.git
cd icyco-qa-assistant

2. Install dependencies

pip install -r requirements.txt

3. Set environment variables

Create a .env file similar to .env.example and provide necessary details.

4. Run the QA app

python app.py

Demo

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