Insights
Local AI, RAG, AI Agents, AI Security — practical guides for your team.
Based on real-world experience, Noonjoy shares insights to help you understand AI and deploy it in your environment.
What Is RAG? A Guide to Understanding Internal Knowledge Search AI
The principles of RAG (Retrieval-Augmented Generation), the deployment flow for internal knowledge search AI, and considerations for adoption from a practical perspective.
Read moreLocal AI Hardware: How to Choose? A GPU Selection Guide
Criteria for selecting GPUs and server specifications for local/on-premises AI deployment, hardware requirements by model size, and cost structure comparison.
Read moreAI Agents and MCP: The Next Step in Workflow Automation
A practical overview of AI agents, the role of MCP (Model Context Protocol), and the permission management and control mechanisms you need when deploying enterprise workflow automation.
Read moreAI That Reads Logs: The Need for AI-Based Security Monitoring
Why AI is needed for security log analysis, the limitations of traditional SIEM, the difference with AI-based monitoring, and LogOnAI's analysis and response flow.
Read moreAI for your environment,
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