9/1/2026 · 1 min read
ai-agentsgraphragragknowledge-graphscontextual-aisalesforce-engineering
AI agents sometimes provide incorrect answers despite citing correct facts, often missing crucial contextual exceptions. This article introduces GraphRAG as a solution to enhance AI agent accuracy by improving contextual retrieval.
Salesforce's Headless 360 initiative is transforming every Salesforce cloud into reusable enterprise capabilities accessible by authorized AI agents via open standards. This marks a significant shift towards AI agents becoming the primary interface for enterprise software.
This article from the Salesforce Engineering Blog addresses the critical problem of Retrieval-Augmented Generation (RAG) applications producing inaccurate information in enterprise production environments despite passing initial benchmarks. It focuses on the challenges and methods for building more trustworthy RAG applications.
This article highlights a critical flaw in evaluating production AI agents: relying on conversational metrics can mask failures in executing real-world system outcomes. It advocates for a shift towards measuring tangible actions and their impact on backend systems.