RAG with Multimodal Inputs vs LLM + Toolchains: Handling Non‑Text Data
The article analyzes how large language models process only tokenized text, compares the traditional LLM‑plus‑toolchain pipeline with emerging multimodal models, evaluates their cost, speed, controllability, and hallucination risks, and proposes a hybrid architecture that matches each approach to specific document scenarios.
