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RAG

5 posts

The Context Window Is Not a Database and You Should Stop Treating It Like One
Opinion7 min read

The Context Window Is Not a Database and You Should Stop Treating It Like One

Throwing more tokens at a problem feels like progress. It isn't. The context window is a compute surface, not a database, and the distinction has real architectural consequenc

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The Hidden Cost of Embedding Model Drift in Production RAG
AI & Machine Learning7 min read

The Hidden Cost of Embedding Model Drift in Production RAG

Your vector index and your query encoder drifted apart months ago. Retrieval quality is quietly collapsing, and nothing in your observability stack noticed.

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Understanding Retrieval-Augmented Generation: Architecture, Pitfalls, and Production Lessons
AI & Machine Learning14 min read

Understanding Retrieval-Augmented Generation: Architecture, Pitfalls, and Production Lessons

RAG is the most deployed LLM pattern in production today. After building RAG systems for 18 months, here are the architectural decisions that matter and the mistakes that don't show up until scale.

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Fine-Tuning vs. Prompting vs. RAG: Choosing the Right LLM Strategy
AI & Machine Learning11 min read

Fine-Tuning vs. Prompting vs. RAG: Choosing the Right LLM Strategy

Three approaches to customizing LLM behavior, each with different tradeoffs. A decision framework based on your data, budget, and accuracy requirements.

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RAG Is Dead, Long Live Agentic RAG: The Evolution of AI Knowledge Systems
AI & Machine Learning9 min read

RAG Is Dead, Long Live Agentic RAG: The Evolution of AI Knowledge Systems

Traditional RAG retrieves documents and stuffs them into context. Agentic RAG plans queries, evaluates results, and iterates until it finds the right answer.

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