As organizations embrace large language models and generative AI, many discover that simply adding Retrieval Augmented Generation (RAG) isn’t enough. Achieving true enterprise-scale impact often requires going beyond the basics – enhancing accuracy, broadening capabilities, and maintaining trust in even the most complex scenarios.
Key Value Points:
Stay Ahead of the Curve: Learn why RAG stands out as the foundational technology for high-performing enterprise AI applications – and how to overcome its inherent limitations.
Boost Accuracy & Trust: Explore how advanced components like knowledge graphs and AI guardrails ensure outputs that are more accurate, transparent, and grounded in verifiable data.
Expand Beyond Basics: Move past simple Q&A scenarios with the Agent Framework and other tools, enabling autonomous tasks, real-time media monitoring, and automated report generation.
Safeguard Your Data: Understand how privacy layers and compliance features protect sensitive corporate and customer information while maintaining top-tier performance.
Real-World Success Stories: See how leading organizations enhance mission-critical operations, from allergen management in food services to automated competitive intelligence reporting in the energy sector.
Download our in-depth white paper now and discover how the Squirro Enterprise GenAI Platform propels your enterprise AI strategy forward – securely, efficiently, and with unparalleled precision.
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