Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases!
Are you ready for the holidays? This week, we have AdventOfCode twice: One solving the puzzles using Neo4j and one with 24 Neo4j 5 tips and tricks. Additionally, we have more articles and videos on RAG, GenAI and Vector Indexes.
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FEATURED NODES SPEAKER: Chris Smith
Chris Smith is a Senior Software Engineer at Thomson Reuters Special Services. He has spent his professional career building robust solutions and tackling challenging problems for customers in the government and commercial spaces. Chris believes the power of graphs combined with well-designed applications are great tools to accomplish many different problem sets.
Connect with him on LinkedIn.
In his session at NODES “Unveiling Innovation Pathways End to End Graph Analytics for Emerging Tech” Chris demonstrates an end-to-end graph analytics pipeline identifying emerging communities of new technologies. Finding hidden linkages between quantum computing and artificial intelligence research communities illuminates interesting innovation pathways.
VECTOR INDEX: Vector Indexing plus Knowledge Graphs with Neo4jVector indexing is thought of as a typical implementation for Generative AI. While this is true at a very rudimentary level, Jeff Tallman discusses using vector indexes in Neo4j to complement graph analytics (non-AI) when data quality is poor, resulting in loose text search-based retrievals.
TWEET OF THE WEEK: Pierre Halftermeyer
🎉 Just tackled the first #AdventOfCode #AoC2023 puzzle🧩 using #Neo4j's new Quantified Path Patterns! 🚀— Pierre Halftermeyer (@halftep) December 1, 2023
My solution? A unique Cypher query to navigate a complex linked list. Really loving how QPP adds a new dimension to problem-solving in graph databases. 💡 #AoC2023… pic.twitter.com/YHk9qApJia
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