AI agents require context to deliver accurate outputs. Neo4j is responding with Context Engine, a set of tools that connect AI tools with relevant data.
Neo4j's Zachary Blumenfeld explains compiling agent reasoning traces into reusable YAML graph skills, reporting a loan-approval demo cut runtime from ~7.5 minutes to 0.5-2 minutes with smaller models.
This question is at the center of our work at RecomendeMe Intelligence, where we are exploring how knowledge graphs, ...
SAN MATEO, Calif., October 20, 2026--(BUSINESS WIRE)--Neo4jⓇ, the world's leading graph intelligence platform, today announced the Neo4j Context Engine, which allows companies to rapidly create the ...
When listening to jazz records, you might suddenly look at the back of the jacket (personnel) and be surprised. 'Wait, the ...
This is the second installment of the series "Searching for 'Connections' — A Practical Guide to Graph Search." Previous installment: Why Can't AI Answer the Crucial Questions? — Graph Search for ...
Open-source OSINT pipeline and graph explorer mapping which brands source from which factories and mills. - leighton-coutinho/supply-chain-mapper ...
Cloudera has expanded its Enterprise AI Ecosystem with Mistral AI, VAST Data, Neo4j, and Cartesia, adding new capabilities ...
Researchers developed ShenNongDiet, a knowledge graph and retrieval-augmented generation system that answers medicinal diet ...
Neo4j has introduced Context Engine, a private-preview platform that uses graph-based business knowledge, enterprise data ...
A modular AI system separates general Traditional Chinese Medicine knowledge from one senior practitioner's prescribing ...
DigiDeeds says banks and credit bureaus are testing its data on informal homes. What it does, which claims are unverified and ...
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