✏️ Page Contributors: Khoi Tran Dang

🕛 Creation date: 25/06/2024

📥 Last Update: 26/06/2024

Examples of industry-leading RAG pipelines (OpenAI, Baichuan, Databricks) can be found here: Tongji-KGLLM/RAG-survey Github - Modular RAG technical map

An example from Langchain discussing three options of multimodal retriever for RAG is discussed here Multi-vector retriever for RAG on tables, images and texts - Langchain

An example of RAG preprocessing workflow with customized MLLMs tackling different types of images: An Easy Introduction to Multimodal Retrieval-Augmented Generation - Nvidia technical blog

An example of RAG inference workflow with customized MLLMs retrieving information from multimodal data: An Easy Introduction to Multimodal Retrieval-Augmented Generation - Nvidia technical blog.

An example from SoftServe of solution architechture for Multimodal RAG leveraging Nvidia components and Milvus vector database SOFTSERVE multimodal RAG system

Some tips and tricks to process and summarize multimodal data are given in this blog (in French): Comment utiliser le mutlimodal pour améliorer un chatbot RAG ?

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Approaches in Multimodal RAG →