Welcome to This Week in Neo4j, your fix for news from the world of graph databases!
At NODES, we launched our 2024 Neo4j Developer Survey – we hope you take part. Additionally, in this episode, we analyse the global supply chain in pharma with GraphRAG, learn from developing a custom knowledge management system, and examine the concept of Agentic RAG.
I hope you enjoy this issue,
Alexander Erdl
COMING UP NEXT WEEK!
- Livestream: Neo4j Live: Cognitive Sciences and Dynamic GraphRAG on November 28
- Conferences: Find us at AWS re:Invent, US on December 02-06 & Connected Data London, UK on December 11-13
- Meetup: Meet us in London, UK on December 12
- All Neo4j Events: Webinars and More
FEATURED COMMUNITY MEMBER: Astrid Paramita Mochtarram
Astrid is a tech entrepreneur, software developer, AI/Machine Learning enthusiast, and Neo4j Ninja. An Indonesian living in Berlin, she loves travelling to explore different running scenes, cuisines (preferably spicy), cultures, and ways of life.
Connect with her on LinkedIn.
In her session at NODES 2024 “Next-Gen Travel Agents: Merging AI Agentic and Neo4j for Personalized Experiences”, she creates personalised travel agents using multiple LLMs and Neo4j, using AI Agentic design patterns for intelligent routing and hallucination checks.
SURVEY: Neo4j Developer Survey
Your voice matters! By filling out the Neo4j Developer Survey 2024, you’re helping us create better tools for everyone in the community. The first 500 unique responses also get a $15 Amazon voucher. So be quick!SUPPLY CHAIN: SupplyChainInsights: applying the Power of GraphRAG and Fine-Tuned LLMs in Global Health Supply Chain Analytics
Abhishek Shankar introduces SupplyChainInsights, which uses Neo4j and advanced AI techniques to enhance global health supply chain analytics. By integrating Retrieval-Augmented Generation (RAG) and fine-tuned models, this project offers detailed insights and efficient data retrieval, empowering organisations with improved data transparency and decision-making capabilities.KNOWLEDGE GRAPH: Building Our Own Knowledge System: Why We Took This Pathe
Stefan Wendin discusses the development of a custom knowledge system to enhance organisational learning and decision-making. He outlines the challenges of managing information across various platforms and emphasises the benefits of a unified system that integrates data, fosters collaboration, and supports continuous improvement.GRAPHRAG: Harnessing Agentic RAG and Graph-Based Metadata Filtering for Enhanced Information Retrieval
Shubham Nagar looks at the concept of Agentic RAG, which allows the creation of powerful systems capable of handling complex queries and delivering highly relevant results. This article explores these concepts and demonstrates how to implement them in a practical use case.POST OF THE WEEK: Lewis N Watson
Super excited to be attending #NODES2024 today!
— Lewis N Watson (@LewisNWatson) November 7, 2024
Link: https://t.co/bbjQBlHpOA
KGs are/going to be an essential part the future of RAG-based Artificial Intelligence (and my PhD project!). I'm especially interested in KGs unlocking transparent and interpretable video… pic.twitter.com/F5y034sBby
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