AI
Enterprise RAG Architecture: Beyond Naive Vector Search
Production RAG requires hybrid search, reranking, access controls, and citation — not just embedding documents into a vector database.
Dr. Naudh Singh12 min
AI
MCP and Tool-Use: The Integration Layer for AI Agents
Model Context Protocol is becoming the USB standard for AI agents. Here's how enterprises should architect tool integrations for production agent systems.
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May 11, 20268 min readBy Dr. Naudh Singh · Founder & Chief Architect
AI agents are only as useful as the tools they can call. MCP provides a standardized protocol for connecting LLMs to databases, APIs, file systems, and enterprise applications. The enterprises winning with agentic AI are building tool registries with permission scoping, rate limiting, and full audit trails — not giving agents unrestricted API access.
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AI
Private LLM Deployment: When Your Data Cannot Leave
Regulated industries need LLMs on their infrastructure. Here's how to deploy fine-tuned models with data sovereignty, cost control, and production reliability.
Dr. Naudh Singh10 min
AI
Agentic AI for Enterprise: Beyond Chatbots
The next wave of enterprise AI isn't conversational — it's autonomous. Agents that ingest data, make decisions, and execute workflows without human intervention.
Dr. Naudh Singh10 min
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