GraphRAG

Beyond Market Intelligence keeps GraphRAG in one place: 3 stories so far. The section currently leads with “Smart Graph Decisions at Scale: Where TypeSafe Jev Meets LLM Reasoning”, “Unlock Advanced RAG: 6 Architectures for Semantic Search & LLMs”, and “When to choose GraphRAG over vector search for deeper insights”. High-frequency graph decisions demand speed and consistency, not just clever prompting. Basic graph retrieval only gets you so far. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every GraphRAG story on Beyond Market Intelligence, newest first.

Smart Graph Decisions at Scale: Where TypeSafe Jev Meets LLM Reasoning
Towards Data Science

Smart Graph Decisions at Scale: Where TypeSafe Jev Meets LLM Reasoning

High-frequency graph decisions demand speed and consistency, not just clever prompting. TypeSafe Jev delivers that calibrated, System One approach, while LLMs handle the synthesis and open-ended reasoning where they excel. It is a practical division of labor that finally makes GraphRAG scalable. For readers tracking how these models handle structure and long-form generation, the related piece on paragraph structure in token space offers a useful complement.

Unlock Advanced RAG: 6 Architectures for Semantic Search & LLMs
Towards Data Science

Unlock Advanced RAG: 6 Architectures for Semantic Search & LLMs

Basic graph retrieval only gets you so far. This guide walks through six production-oriented architectures that pair semantic search with knowledge graphs and LLM reasoning, giving practitioners a practical route beyond simple vector lookups. It's a grounded, no-nonsense read for teams ready to move past toy demos. For a deeper look at how LLMs handle structure internally, pair it with our piece on paragraph structure and token space. The ideas complement each other well.

When to choose GraphRAG over vector search for deeper insights
VentureBeat

When to choose GraphRAG over vector search for deeper insights

Forget the hype about GraphRAG being a universal upgrade. The evidence is clear: it's a specialized tool, not a replacement for standard retrieval. Microsoft's own research shows it crushes vector RAG on global, sensemaking questions, winning up to 83% of comparisons, but on simple fact lookups, the two are effectively tied. The real takeaway isn't about choosing sides. It's about building a router that sends each query to the method it deserves. That's how you get the gains without paying for indexing you don't need.