Turning Static PDFs into Interactive Knowledge Bases with AI 📄🤖

I built this project to explore how AI can transform static PDFs into dynamic, interactive knowledge systems.

💡 Why I Built It

PDFs often lock valuable information in static text. I wanted to learn how modern AI techniques—especially RAG (Retrieval-Augmented Generation)—can unlock that knowledge and make it interactive, searchable, and context-aware.

⚙️ How It Works

This project converts static PDF documents into intelligent knowledge bases. Here's what happens under the hood:

  1. Extract: Text is extracted from the PDF using PyPDF.
  2. Embed: Langchain processes and embeds the content into a vector space.
  3. Store: FAISS (Facebook AI Similarity Search) stores these vectors for fast, semantic search.
  4. Retrieve + Generate: On a user query, relevant chunks are retrieved and passed to Mistral LLM, which generates a human-like response using the RAG technique.

This architecture ensures accurate, contextual, and insightful answers based on the actual document content.

🧠 Tech Stack & Tools Used

  • 🔹 FastAPI – to build a clean, high-performance backend API
  • 🔹 Langchain – for document loading, text chunking, embedding, and orchestration
  • 🔹 HuggingFace Transformers – for leveraging pre-trained NLP models
  • 🔹 FAISS – for efficient similarity search in vector space
  • 🔹 Mistral LLM – for generating high-quality, contextual answers
  • 🔹 PyPDF – for PDF text extraction
  • 🔹 Torch – for deep learning tasks and inference

☁️ Where I Ran It

I used JarvisLabs.ai to run this project, leveraging their cloud-based GPU instances for fast and cost-effective model execution and experimentation.

🚀 What’s Next?

I'm planning to:

  • Add support for multi-file document Q&A
  • Implement citations for generated answers
  • Build a simple UI for uploading and querying PDFs

If you're curious about how to bring AI into real-world document processing, this is a fun and highly practical project to try!

🔗 Stay tuned or drop feedback
📌 #AI #MachineLearning #RAG #Langchain #DocumentProcessing #NLP #PDF #FastAPI #HuggingFace #Mistral