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multi-modal-rag

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RAG enhances LLMs by retrieving relevant external knowledge before generating responses, improving accuracy and reducing hallucinations.

  • Updated Feb 14, 2025
  • Jupyter Notebook

QueryPilot is an advanced document intelligence platform that combines Large Language Models (LLMs) with vector embeddings to enable natural language querying of your documents. The application processes various file formats (PDFs, DOCXs, TXT files, and images), extracting and embedding content for semantic search and AI-powered analysis.

  • Updated May 4, 2025
  • Python

Multi-Modal RAG for Macroeconomics: A retrieval-augmented generation system that integrates text, tables, and visual data (charts/graphs) using LangChain, ChromaDB, and GPT-4o. Features a Multi-Vector Retriever architecture to provide context-aware answers and visual evidence from complex educational materials.

  • Updated May 7, 2026

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