https://www.eastridge-analytics.com/ 2026-10-05 weekly 1.0 https://www.eastridge-analytics.com/assets/argus-site.webp Argus, a litigation intelligence platform, showing an automatically generated case chronology https://www.eastridge-analytics.com/assets/bridgr-site.webp Bridgr, a graph analytics platform, answering a question with a traceable receipt https://www.eastridge-analytics.com/assets/tim.webp Tim Eastridge, founder of Eastridge Analytics https://www.eastridge-analytics.com/assets/book-cover.webp Graph Data Science with Python and Neo4j, by Timothy Eastridge https://www.eastridge-analytics.com/services 2026-10-05 monthly 0.9 https://www.eastridge-analytics.com/neo4j-consulting 2026-10-05 monthly 0.9 https://www.eastridge-analytics.com/entity-resolution 2026-10-05 monthly 0.9 https://www.eastridge-analytics.com/graphrag-consulting 2026-10-05 monthly 0.9 https://www.eastridge-analytics.com/graph-data-science 2026-10-05 monthly 0.9 https://www.eastridge-analytics.com/insights 2026-10-05 weekly 0.8 https://www.eastridge-analytics.com/assets/book-cover.webp Cover of Graph Data Science with Python and Neo4j by Tim Eastridge https://www.eastridge-analytics.com/assets/blog/er-hero.svg Three customer records from separate systems merging into one golden record https://www.eastridge-analytics.com/assets/blog/rag-hero.svg Documents becoming a knowledge graph and then a cited answer https://www.eastridge-analytics.com/assets/blog/fraud-hero.svg Seven accounts linked by one shared device, forming a fraud ring https://www.eastridge-analytics.com/contact 2026-10-05 monthly 0.7 https://www.eastridge-analytics.com/about 2026-10-05 monthly 0.7 https://www.eastridge-analytics.com/assets/tim.webp Tim Eastridge, founder of Eastridge Analytics https://www.eastridge-analytics.com/assets/book-cover.webp Graph Data Science with Python and Neo4j, by Timothy Eastridge https://www.eastridge-analytics.com/careers 2026-10-05 monthly 0.6 https://www.eastridge-analytics.com/blog/entity-resolution-techniques 2026-10-05 yearly 0.8 https://www.eastridge-analytics.com/assets/blog/er-hero.svg Three customer records from separate systems merging into one golden record https://www.eastridge-analytics.com/assets/blog/er-matching.svg Deterministic matching compared with probabilistic scoring https://www.eastridge-analytics.com/assets/blog/er-graph.svg A graph traversal linking three records through shared address and phone https://www.eastridge-analytics.com/blog/graph-analytics-fraud-detection 2026-10-05 yearly 0.8 https://www.eastridge-analytics.com/assets/blog/fraud-hero.svg Seven accounts linked by one shared device, forming a fraud ring https://www.eastridge-analytics.com/assets/blog/fraud-views.svg The same four transactions seen as rows and then as a graph https://www.eastridge-analytics.com/assets/blog/fraud-algos.svg Community detection, centrality and similarity compared for fraud work https://www.eastridge-analytics.com/blog/graphrag-enterprise-ai 2026-10-05 yearly 0.8 https://www.eastridge-analytics.com/assets/blog/rag-hero.svg Documents becoming a knowledge graph and then a cited answer https://www.eastridge-analytics.com/assets/blog/rag-compare.svg Vector-only retrieval compared with graph-augmented retrieval https://www.eastridge-analytics.com/assets/blog/rag-pipeline.svg Five stage hybrid retrieval pipeline from question to cited answer