AI PDF Question-Answering Chatbot with Vector Search

This workflow uploads any PDF document into a vector database and lets you ask natural-language questions about its content, with an AI agent retrieving the relevant passages to generate accurate answers. It's built for researchers, students, legal teams, and anyone who needs to quickly extract information from lengthy PDFs instead of manually searching page by page. By combining document embedding with retrieval-augmented generation, it turns any static PDF into an interactive knowledge source, saving significant time when working with contracts, reports, manuals, or academic papers on a regular basis for work or study.

Category: RAG & Knowledge Base