https://development.tldrecap.tech/presenters/the-provided-content-does-not-explicitly-mention-the-names-of-the-speakers./ Recent content in The Provided Content Does Not Explicitly Mention the Names of the Speakers. on TLDRecap ⏮️ https://development.tldrecap.tech/images/tldrecap_logo.jpg https://development.tldrecap.tech/images/tldrecap_logo.jpg Hugo en Tue, 19 May 2026 06:27:35 -0700 https://development.tldrecap.tech/posts/2026/mongodb-local-london/building-temporal-graph-reasoning-mongodb/ Tue, 19 May 2026 06:27:35 -0700 https://development.tldrecap.tech/posts/2026/mongodb-local-london/building-temporal-graph-reasoning-mongodb/ <p><strong>Presenters</strong></p> <ul> <li> <a href="https://development.tldrecap.tech/presenters/the-provided-content-does-not-explicitly-mention-the-names-of-the-speakers.">The provided content does not explicitly mention the names of the speakers.</a> </li></ul> <p><strong>Source</strong></p> <ul> <li> <a href="https://development.tldrecap.tech/sources/mongodb.local-london-2026">MongoDB.local London 2026</a> </li></ul> <h1 id="building-a-temporal-graph-reasoning-platform-on-mongodb-a-deep-dive-">Building a Temporal Graph Reasoning Platform on MongoDB: A Deep Dive 🚀</h1> <p>Are you ready to go beyond basic RAG and build truly intelligent systems? James Melvin from LexisNexis shares his journey of constructing a <em>temporal graph reasoning platform</em> on MongoDB, tackling the complexities of data, time, and AI readiness. This session dives deep into the challenges and innovations behind creating a robust knowledge graph solution.</p>