Engineering intelligence feed

Insights from production

Engineering writeups from teams that have shipped real AI. No tutorials, no demos.

Articles
20
Topics
3
Total read time
166m
Architecture diagram showing the retrieval ceiling between plain vector RAG and GraphRAG hybrid retrieval pipelines.
FeaturedGraphRAG & RAGLive from production Guide
Fresh — updated 11d agoHigh priority

Plain vector RAG hits a ceiling around 100K documents. This is where graph-augmented retrieval becomes the right tool — and how to know if you need it.

GraphRAGvector searchhybrid retrievalknowledge graphsNeo4jenterprise RAG
Depth
implementation
Read article

Read in order

Want to go deep on a topic? Each track starts with a foundational guide and continues into supporting writeups.

The next case study could be yours

Read the theory. Now deploy it.

We work with teams that need production AI systems — not demos. If that's you, let's scope the smallest viable version together.

Questions about Cognilium AI

Common questions about our company, products, and how we work with engineering teams.