Scholarlink

As Enterprise Agentic AI evolves, AI agents must process vast amounts of unstructured data—text, images, audio, and video—to make real-time decisions, retrieve relevant knowledge, and autonomously execute tasks. Unlike structured databases that rely on fixed schemas, unstructured data lacks a predefined format, making efficient retrieval and analysis a critical challenge.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Vector Databases in AI Applications in Enterprise Agentic AI

  • 章节

  • 发表日期：

    2025年

查看全文
  • Sumit Ranjan,
  • Divya Chembachere,
  • Lanwin Lobo

摘要

As Enterprise Agentic AI evolves, AI agents must process vast amounts of unstructured data—text, images, audio, and video—to make real-time decisions, retrieve relevant knowledge, and autonomously execute tasks. Unlike structured databases that rely on fixed schemas, unstructured data lacks a predefined format, making efficient retrieval and analysis a critical challenge.