multi-modal-rag

"RAG-Anything: All-in-One RAG Framework"

Master repository for various RAG types.

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.

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

A multi-app repository featuring AI-driven Apps: LaTeX OCR, AI news generator, stock analyst, content planner, document chat (RAG), multi-modal RAG, real-time voicebot, and more. Built with Python, OpenAI, LLMs, and modern frameworks for scalable solutions.

Multi-Modal RAG: An AI-powered pipeline for extracting, chunking, and summarizing content from PDF documents using advanced chunking strategies and generative models. Includes support for text, tables, and images, with vector search and retrieval via ChromaDB.

Handle mixture of content types, including text, tables and images using Multimodal RAG

Official Repository for The Paper, Zero-Effort Image-to-Music Generation: An Interpretable RAG-based VLM Approach

A professional AI-powered image editor that transforms raster images into editable vector layers using advanced segmentation technology.