Benchmarking multimodal document search in OpenSearch: Three approaches compared (opens in new tab)
Documents with tables, charts, and diagrams need more than text-based search. We benchmarked three multimodal document search approaches in OpenSearch on 1,000 report pages. ColPali late interaction reranking achieved the highest search quality (92% recall) but with higher latency, BDA modality-aware embedding offered a balanced middle ground, and text-only chunking was simplest to implement but scored lowest on visually rich content. The post Benchmarking multimodal document search in OpenSe...
Read the original article