Smart Document Q&A System

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prerequisites
Intermediate Python Programming (data structures, list comprehensions) • basic understanding of embeddings concept • basic NumPy
skills learned
Vector embeddings • semantic search • cosine similarity • RAG architecture • question-answering systems
Kannupriya Kalra & Pavan Vamsi
1 week · 4-6 hours per week · INTERMEDIATE
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Look inside

In this liveProject, you’ll extend a simple document analyzer with a smart Q&A system that answers client questions instantly. You’ll use retrieval-augmented generation (RAG), document chunking, and vector embeddings to help your model pinpoint the most relevant sections and provide clear, reliable answers in natural language. Along the way, you’ll work with lightweight in-memory databases and build semantic search capabilities that turn sprawling documents into responsive, conversational knowledge sources.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project authors

Kannupriya Kalra
Kannupriya Kalra is an engineering leader and creator of LLM4S, the first AI-native platform for Scala. She contributes to the AI open-source ecosystem through the Scala Center, LLM4S, and Google Open Source, and leads the Google Summer of Code programs for the Scala Center. Based in London, she has presented on AI in over ten countries and is passionate about empowering developers through hands-on generative AI projects and open-source contributions.
Pavan Vamsi
Pavan Vamsi is a software engineer at Microsoft’s Core AI Division in the San Francisco Bay Area, where he drives large-scale integration of Copilot into developer tools. With nearly a decade of experience in enterprise software and cloud infrastructure, he has created several open-source tools, including Prompt Cop, Prompt Craft, and Focus Pulse AI, all aimed at improving productivity, security, and AI-driven workflows.

prerequisites

This liveProject is for beginner software engineers with basic to interm Python knowledge who want to learn practical AI applications for document processing. To begin this liveProject, you will need to know:


TOOLS
  • Beginner to Intermediate Python
  • Beginner Google Colab
  • Beginner OpenAI API

TECHNIQUES
  • Beginner Text Processing
  • Beginner JSON Data Handling

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