Multi-Vector Retriever for RAG on tables, text, and images
微软发布 Multi-Vector Retriever，用于在表格、文本和图像上实现检索增强生成（RAG）。该技术提供涵盖半结构化及多模态数据的检索 Cookbook。
SummaryAI generated
On August 25, 2026, LangChain released Multi-Vector Retriever, aimed at addressing the limitations of traditional retrieval methods in mixed data sources. This tool can handle structured tabular data, unstructured text, and image content simultaneously, enhancing the compatibility and efficiency of RAG (Retrieval-Augmented Generation) systems through a unified vector retrieval mechanism.
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