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The GoSearch Blog
Expert insights on enterprise AI, search, agents, and workflow automation.
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Gemini 3.6 Flash in GoSearch: What’s New and When to Use It for AI Agents
Gemini 3.6 Flash is now in GoSearch. See how it compares to Gemini 3.5 Flash on cost and speed, and which AI agent use cases fit it best.
Token Efficiency Is the New Latency: Why Enterprise Search Is the Foundation for AI Agents and Workflows
Agent tasks consume 10–100x more tokens than a chat exchange. Learn how token efficiency works and why enterprise search is the lever that controls AI cost.
The Enterprise Context Layer: Your Foundation for Agentic AI
An enterprise context layer is the infrastructure that makes AI agents understand your company — and what separates production systems from demos.
What’s New in Claude Sonnet 5: Powering Enterprise AI, Agents, and Workflows in GoSearch
What's new in Claude Sonnet 5, how it compares to Sonnet 4.6, and how GoSearch uses it for enterprise AI agents and workflow automation.
Best Gemini Enterprise Alternatives: Why More Teams Are Choosing GoSearch
Discover why GoSearch outperforms other Gemini Enterprise alternatives. Get 2x the connectors, full read/write access, multi-LLM support, and zero GCP lock-in.
AI Agents vs. Workflows: What’s the Difference & How GoSearch Uses Both
AI agents vs. workflows: what's the difference, when to use each, and how GoSearch combines both for enterprise automation.
What Is Retrieval-Augmented Generation (RAG)? How Enterprise RAG Search Works in 2026
Retrieval-Augmented Generation (RAG) combines search and generative AI to deliver accurate, grounded answers from enterprise knowledge. Learn how RAG works, its architecture, benefits, use cases, and how modern enterprise search platforms extend traditional RAG systems.
The Context Tax: What’s Really Behind the AI Productivity Paradox
The AI productivity paradox has a name: the context tax. Here's what's really driving the gap between AI adoption and impact.
