PDF-Based RAG with Mistral OCR, Qdrant & Gemini AI

Turn PDFs into queryable knowledge — fully automated.

This workflow extracts text from PDF documents using Mistral OCR, embeds it into a Qdrant vector database, and powers intelligent question-answering with Retrieval-Augmented Generation (RAG). No manual processing, no tech headaches — just fast, accurate access to document insights.

Whether you're building a knowledge bot, processing contracts, or organizing research, this tool gives you scalable automation with multi-model intelligence.

What it does:

📄 Extracts text from PDFs using Mistral OCR

🧠 Converts content to embeddings with OpenAI + stores in Qdrant

💬 Enables real-time Q&A using Gemini-powered RAG

⚙️ Offers optional summarization for performance tuning

🔁 Built with batching, subflows, and multi-model support

✅ Setup guide & importable automation included

Need help setting it up? We offer full configuration and testing for a one-time fee.