Multimodal RAG Over Complex Webpages

A novel Retrieval-Augmented Generation (RAG) system for complex websites combines ColiVara for unchunked document retrieval, Firecrawl for web scraping, and DeepSeek Janus as a multimodal language model. The process involves indexing screenshots with ColiVara and using DeepSeek Janus for response generation. This approach handles complex web layouts, including diagrams and tables, without traditional text parsing or OCR, simplifying RAG implementation and potentially improving accuracy.