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How AI Agents Decide Which Tool to Use
Tool selection is a central part of agentic AI. The quality of the result depends on the agent choosing an appropriate action, supplying the correct input, and evaluating the returned information before continuing.
Die Neuheiten der Mindbreeze InSpire 26.5 Release
Interessiert an den Highlights der Mindbreeze InSpire 26.5 Release? Erfahren Sie mehr im folgenden Blogbeitrag.
Context Engineering: How Better Context Improves Accuracy, Reduces Hallucinations, and Controls AI Costs
The quality of generative AI answers depends on far more than the language model itself. Every response is shaped by the information provided before the model begins generating text.
The Business Value of Secure Enterprise AI Search
Secure AI search is often discussed as a technical or compliance topic. But for enterprises, authorization and data protection are not only about reducing risk. They also create business value.
Secure AI Search: Why Authorization and Data Protection Matter
Enterprise AI search is changing how employees find and use information. Instead of searching through disconnected systems, employees can ask questions, receive AI-generated answers, summarize content, and get guidance based on enterprise knowledge.
Finding Research Insights Across Large Enterprises
How AI-powered research discovery helps teams find and reuse knowledge fasterLarge enterprises create research constantly: market studies, customer insights, competitive intelligence, product research, innovation findings, and human-centered research.
Tokenmaxxing: Why More Context Does Not Automatically Mean Better AI
What Is Tokenmaxxing?Large Language Models process information in tokens. Tokens can be words, parts of words, or characters that the model uses to understand prompts and generate responses. Every question, instruction, document excerpt, and answer consumes tokens.
The Real Agentic AI Opportunity C-Suite Leaders Are Missing
Every major technology cycle produces the same headline: jobs are disappearing. I have watched this pattern repeat throughout my career, first with enterprise search, then with knowledge management platforms, then with early machine learning deployments.
Die Neuheiten der Mindbreeze InSpire 26.4 Release
Interessiert an den Highlights der Mindbreeze InSpire 26.4 Release? Erfahren Sie mehr im folgenden Blogbeitrag.
Memory in Agentic AI: Why Context Matters
When we talk about agentic AI, it’s easy to focus on reasoning and tool‑calling. But there’s another ingredient that’s just as important: memory. Without it, even the smartest model can only handle one interaction at a time.
Elevate Your Enterprise AI Stack: How Mindbreeze Unlocks Business Value
IntroductionModern enterprises are awash in information. Documents, policies, emails, databases, and messages live in many systems. Mindbreeze acts as connective tissue between your organization’s data and your AI models.
Inside the Architecture of an AI Agent
AI agents are often talked about as if everything depends on the model. But in real enterprise environments, the model is only one part of the story.