Knowledge Graph + RAG — AI Knowledge System
How a research-driven team collapsed query time from 2 hours to 5 minutes with a knowledge graph layered over a retrieval-augmented generation pipeline — a 40x ROI.
A research-driven team was spending two hours per query digging through scattered docs, past projects, and tribal knowledge. The information existed — it just wasn't retrievable.
We designed a knowledge graph layered with a retrieval-augmented generation pipeline — structuring the team's institutional knowledge into a queryable, compounding system.
Research time collapsed from two hours to five minutes. The system now compounds — every new document makes every future query sharper.
The Engagement
A research-driven team was spending two hours per query digging through scattered docs, past projects, and tribal knowledge. The information existed — it just wasn’t retrievable.
What We Built
We designed a knowledge graph layered with a retrieval-augmented generation pipeline — structuring the team’s institutional knowledge into a queryable, compounding system.
The Outcome
Research time collapsed from two hours to five minutes. The system now compounds — every new document makes every future query sharper.