GraphRAG and knowledge graphs
GraphRAG is not the answer to everything. It works when your pain is the relationships between things: which batch came from which supplier and reached which client; which parts share a failure cause. We start with a $990.000 feasibility study; 50% is credited toward implementation. If your case warrants it, full implementation costs $7.900.000 plus management from $490.000 up to $990.000 monthly. The rule is honest: if the pain is seeing indicators or organizing data, it is NOT GraphRAG.
Net prices (VAT excluded). VAT is a tax credit for registered businesses.
— data.world / Microsoft Research, 2024
Pain
Scattered information, invisible relationships, answers without clear sources, and decisions that are hard to audit.
Response
Connected knowledge, traceable queries, and answers that show where each conclusion comes from.
How it adapts to the case
GraphRAG and knowledge graphs
Feasibility study
We confirm with evidence that your problem needs relationships, traceability, or multi-hop reasoning. If it does not, we tell you.
Knowledge model
We define entities, relationships, documents, permissions, and sources of truth.
Construction
We create the graph, connect your documents, and integrate it into the query or agent flow.
Evaluation
We measure accuracy, traceability, latency, costs, and usefulness for your users.
Outcomes
Only if warranted
Frequently asked questions
How do I know if my case warrants GraphRAG?
The $990.000 feasibility study answers it with evidence, and 50% is credited toward implementation. The rule: if the pain is seeing indicators or organizing data, it is NOT GraphRAG.
How much does full implementation cost?
$7.900.000 plus monthly management from $490.000 up to $990.000 depending on scope. Billed by milestones. Prices are CLP net, VAT excluded.
What if the study concludes it is not for me?
We tell you and show you the right path, such as a data sprint from $690.000. You pay for clarity to decide, not for hype.
What kind of business benefits from it?
Organizations with complex, connected information: agriculture, manufacturing, traceability. Cases where a critical relationship —a product recall, a root-cause failure— is expensive.
The next rung of the ladder
“What does it cost you when you cannot trace a critical relationship, like a product recall?”
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