Multimodal RAG that ingests PDFs, generates grounded text, image outputs by retrieving relevant content from documents.
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Sep 19, 2026 - Jupyter Notebook
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multimodel-rag
Here are 8 public repositories matching this topic...
Cortex AI: Multi-Model Insights Hub is an advanced platform that leverages cutting-edge AI to empower your research, analysis, and data exploration. By integrating multiple Large Language Models (LLMs) with a sophisticated Retrieve-and-Generate (RAG) system
chatbot summarizer article-extractor pdf-document-processor rag vector-database streamlit-webapp llm chromadb deepseek-chat llama3 deepseek-r1 multimodel-rag youtube-video-analytics
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Nov 22, 2025 - Python
A full-stack multimodal RAG system that intelligently ingests documents, performs semantic retrieval with hybrid reranking, and generates grounded, citation-backed answers using Ollama, Qdrant, Groq, and Python.
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Jul 10, 2026 - TypeScript
This repository contains a full-stack Multimodal Retrieval-Augmented Generation (RAG) backend powered by FastAPI, PostgreSQL/pgvector, Google Gemini integration and Google's latest gemini-embedding-001
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Mar 16, 2026 - Python
Curious how LLMs actually work? This is 10 hands-on notebooks that go from tokenization and generation to RAG, hallucinations, and building AI agents — all through experimentation.
memory gemini tokenization deepdive huggingface tools-for-thought prompting llms generative-ai reasoning-engine multimodel-rag
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Jul 27, 2026 - Jupyter Notebook
Multimodal RAG that retrieves document pages as images using ColQwen2 late-interaction search, fused with dense and lexical retrieval. Modality-routed generation with page-level citations. Runs on a 4GB laptop GPU.
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Sep 18, 2026 - Python
A state-of-the-art Retrieval-Augmented Generation (RAG) system that transforms document processing and knowledge retrieval through hierarchical organization, advanced embedding techniques, and intelligent conversation management. This project combines cutting-edge AI technologies to create a sophisticated document intelligence platform.
microservices-architecture large-language-models vision-language-model retrieval-augmented-generation ai-deployment-and-integration weaviatedb multimodel-rag
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Nov 20, 2025 - Python
An end-to-end Multimodal Retrieval-Augmented Generation (RAG) system using Docling, ChromaDB, CLIP, LangChain, and Google Gemini for intelligent PDF understanding.
python pdf clip rag streamlit document-ai llm generative-ai langchain google-gemini cromadb multimodel-rag
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Jul 12, 2026 - Python
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