RAG over PDF – Ask Your Documents Anything
Turn your PDFs into interactive knowledge bases using GPT + LlamaIndex.
This hands-on demo lets you upload any PDF file and ask natural language questions. It works by splitting, embedding, and indexing the PDF with LlamaIndex, and using GPT (via OpenAI) to generate relevant responses.
Whether you're reviewing reports, contracts, policy documents, or training manuals — this app can help you quickly extract insights.
💡 Try Asking:
What were the key findings in the research paper?
When is the renewal deadline mentioned in the contract?
Summarize the last section of the report.
⚙️ Demo Details
Built With: Streamlit + LlamaIndex + OpenAI
Deployed On: Streamlit Cloud
Created By: Instrovate Technologies
Any PDF Document
Upload reports, contracts, research papers, manuals, or any PDF file and start asking questions immediately.
Instant Insights
Get immediate answers from your documents without reading through pages of content manually.
Contextual Answers
All responses are grounded in your uploaded content, ensuring accurate and relevant information.
🧠 How It Works
Upload any PDF file
Choose any PDF document from your device to start the process.
The app splits the file into chunks
The PDF content is automatically divided into manageable sections for processing.
Each chunk is embedded using LlamaIndex
Content is converted into vector embeddings for intelligent search and retrieval.
GPT + LlamaIndex retrieve relevant sections and answer your question
AI finds the most relevant parts of your document and generates accurate answers.
All responses are contextual and grounded in the uploaded content
Every answer is based solely on your document, ensuring accuracy and relevance.