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Hallucination Detection: Commercial vs Open Source - A Deep Dive
HHEM-2.1-Open is the de facto open-source hallucination evaluation model for RAG, but how much better is the commercial version available in Vectara’s platform?
Create a Financial Investment Memo with Vectara Enterprise Deep Research
In financial services, analysts spend countless hours piecing together insights from internal and external documents and research to craft investment memos. What once took weeks of manual effort can now be compressed into hours with Vectara Enterprise Deep Research
MCP: The control plane of Agentic AI
A Comprehensive guide to MCP and the new enterprise interoperability paradigm that is powering the future of agentic workflows.
Stop Scrambling: Generate Onboarding Guides with Enterprise Deep Research
How Enterprise Deep Research can advance discovery of internal company documents to create onboarding guides for new employees.
Visibility and Control: Vectara’s Admin Center
The new Vectara Admin Center provides a centralized, intuitive interface for on-premise and VPC customers to manage their Vectara deployments. It empowers DevOps and IT Admin teams with centralized visibility and control to prevent RAG Sprawl overhead.
Responding to RFPs with Enterprise Deep Research
How Enterprise Deep Research can shorten RFP processing time from weeks or days to hours or even minutes.
Introducing Enterprise Deep Research
Deep Research for the Enterprise is poised to become the killer app of generative AI, unlocking a powerful way to explore nuanced, data-rich questions for decision making by tapping directly into their own document repositories.
Context Engineering: Can you trust long context?
Context Engineering is emerging as the evolution of prompt engineering. Yet larger context windows can backfire: too many tokens invite noise, contradictions, and diminishing returns.
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