AI expertise: RAG, agents, MCP | Rakam AI

Expertise

The building blocks we ship,
explained without marketing.

What we learned putting these systems into production for software vendors: what works, what breaks, and the point where you need a different approach.

Agentic AI

Agentic AI: when the system does the work instead of describing it

Agentic AI means systems that act: they call tools, read the state of a record and change it, instead of only producing text. For a software company, it is the difference between a feature that explains and a feature that does the work for the user.

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AI agent

An AI agent is not a chatbot that talks better

The difference is not conversation quality, it is consequence. A conversational assistant produces text. An agent calls tools and changes the state of your system: it creates an entry, sends a message, updates a record. That shift changes everything that matters in production.

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MCP

MCP: a protocol so the model can call your functions

The Model Context Protocol standardises how a model discovers and calls external tools. It is not a layer of intelligence: it is a standardised socket. The real benefit is no longer rewriting the integration every time the model changes, and that is already a lot.

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MCP

MCP server: what it contains, and where the work is

An MCP server is not a layer of intelligence, it is a contract. It declares what a model may call, with which parameters and within which limits. All the work is in that contract, and almost none in the protocol.

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RAG

RAG, and the five places it breaks in production

Retrieval-augmented generation has become the default building block of every enterprise AI project. It is also the most badly calibrated: a prototype takes three days, a version that holds in production means solving five problems the prototype hides.

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Sovereignty

AI sovereignty: what gets decided is where your data runs

Sovereign AI is not a brand of model, it is an architecture. Four levels exist, from a remote model with obfuscation through to an air-gapped network, and the right level is the lightest one that satisfies your actual constraint.

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