The GoSearch Blog
Expert insights on enterprise AI, search, agents, and workflow automation.
Explore categories:
All AI & Technology Company & Community Learning & Resources Product & Updates Stories & Innovators Use Cases & Solutions
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.
GPT-5.6 Sol vs. Terra: The Difference and When to Use Each in GoSearch
GPT-5.6 Sol vs. Terra: what each model is built for, when to use which, and how GoSearch puts both to work for AI agents, workflows, and chat.
Best Gemini Enterprise Alternative: Why More Teams Are Choosing GoSearch
See why GoSearch is the best Gemini Enterprise alternative, with 2x the connectors, full read/write access, multi-LLM support, and no 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.
Different Types of AI and AI Models Explained: Generative, Agentic, Multimodal, and Enterprise AI Systems
The different types of AI explained: generative, agentic, multimodal, and how to choose the right model for your team.
The 4 Types of Search Engines — and How to Choose the Right One
There are 4 types of search engines: web, site, enterprise, and application-specific. Learn how each works and which is right for you.
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.
