RAG

Retrieval-augmented generation and GraphRAG: what the benchmarks show, what it costs, how to evaluate it and how to build the business case.

GraphRAG wins on multi-hop and whole-corpus questions and loses on plain lookups, at a higher cost. What three studies show, how much weight each deserves, and a decision rule you can use.

Ivan Bardak

Oct 29, 20266 min read

Five questions before you build a knowledge graph for RAG

A knowledge graph can make RAG better at connecting facts, or just slower and more expensive. Five questions, each tied to published evidence, that tell you which one you are about to get.

Ivan Bardak

Oct 29, 20266 min read

A GraphRAG business case, done the evidence-based way

Most GraphRAG business cases are a vendor benchmark and a hopeful percentage. A structure that survives a CFO's questions: six steps of evidence-based management, a cost model from measured token counts, and a value range instead of one number.

Ivan Bardak

Oct 29, 20266 min read

The real cost of GraphRAG: indexing, queries and keeping the graph fresh

Indexing reads your whole corpus with an LLM, global search can use hundreds of times more tokens per question than plain RAG, and freshness is the cost nobody budgets. Published measurements, current prices and a cost model you can fill in.

Ivan Bardak

GraphRAG vs RAG: what the evidence actually says

Five questions before you build a knowledge graph for RAG

A GraphRAG business case, done the evidence-based way

The real cost of GraphRAG: indexing, queries and keeping the graph fresh