Vision Models Pre-Index Images as Text to Cut RAG Multimodal Costs

Generating text descriptions of images at index time using vision models, then storing those descriptions for retrieval, avoids per-query multimodal inference costs in RAG pipelines while preserving visual context. This pattern improves accuracy for technical documentation assistants without requiring multimodal embeddings at query time.