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Closing the Gap Between Agentic Promise and Impact with Industry Leading Retrieval

New Voyage AI embedding and reranking capabilities in MongoDB Atlas give agents accurate, built-in retrieval, closing the gap between AI's promise and impact.

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mongodb.com

forbes.com

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AI · summaries

mongodb.comStai leggendo22 h fa

Closing the Gap Between Agentic Promise and Impact with Industry Leading Retrieval

MongoDB's Automated Embedding and voyage-code-4 integrate retrieval directly into Atlas, eliminating separate vector search for AI agents. Built-in retrieval closes the agent ROI gap—only 29% report success—by cutting engineering weeks from agentic workflows.

originale

forbes.com22 h fa

Buy And Build: The Right Way To Approach Agentic AI Deployments

Only 25% agentic AI pilots reach production; buy-and-build (platform + headless) beats pure acquisition managing token costs and domain workflows. Target 1-2 use cases (IT, HR) with human-in-the-loop; ROI from testing, guardrails and control—not rapid uncontrolled rollout.

Timeline cronologica

giovedì 13 agosto 2026·mongodb.com
Closing the Gap Between Agentic Promise and Impact with Industry Leading Retrieval
New Voyage AI embedding and reranking capabilities in MongoDB Atlas give agents accurate, built-in retrieval, closing the gap between AI's promise and impact.
giovedì 13 agosto 2026·forbes.com
Buy And Build: The Right Way To Approach Agentic AI Deployments
Achieving sufficient ROI with agentic AI can be challenging. Here's a better approach.