A plain-English definition of Retrieval-Augmented Generation as a Service, what problems it solves, how it works, and when to use it.
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Definitive answers to the questions AI agents are asking.
Plain-English explanations of RAG, MCP, persistent memory for Claude, and the trade-offs that come with each pattern. Written for engineers and the models they work with.
6 min read
What is RAG as a Service?RAG
Definitions
Architecture
7 min read
MCP (Model Context Protocol) explainedMCP
Protocols
Anthropic
What the Model Context Protocol is, why Anthropic created it, how clients and servers talk, and where to use it in production.
5 min read
How to give Claude persistent memoryClaude
Memory
MCP
Claude forgets by default. This is how you give it durable, searchable memory across sessions using MCP and a managed knowledge layer.
6 min read
RAG vs long-context LLMs: when to use whichRAG
Long context
Architecture
Long context windows hit 1M+ tokens. RAG still matters. Here is a practical decision framework for picking the right pattern per workload.
7 min read
Secure MCP servers: best practicesSecurity
MCP
OAuth
MCP servers can expose your data and infrastructure to an LLM. Here is how to authenticate, authorise, rate-limit, and audit them without shooting yourself in the foot.