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mutilmodel

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An agentic, zero‑shot document intelligence engine that sees, understands, and extracts from any PDF, no training, no hallucinations. Just define your fields and get trusted, structured outputs with confidence scores, deployed locally and built for the enterprise.

  • Updated Jun 11, 2026
  • Python

Developed an end-to-end Multimodal Retrieval-Augmented Generation (RAG) ingestion pipeline for processing complex PDF documents containing text, tables, and images. • Implemented high-resolution PDF parsing using Unstructured.io with OCR support for scanned documents, enabling extraction text, tables, and embedded images while preserving document

  • Updated Aug 5, 2026
  • Jupyter Notebook

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