Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases!
Happy New Year! I hope your first week of 2024 was a good one! In graphs, we started like we finished, and our topics are Artificial Intelligence, LangChain, Knowledge Graphs and RAG!
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Alexander Erdl
COMING UP NEXT WEEK!
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- NODES 2023: Watch Recordings
- Live Stream: Neo4j Live: Ten Unique Graph Use Cases That Can Help Reduce Risk and Improve the Bottom Line on January 9
- Meetup: Meet us in Austin, TX on January 10
- All Neo4j Events: Webinars and More
- GraphSummit Series: Get Connected With Graphs – New Dates for 2024 now live!
FEATURED NODES SPEAKER: Alex Babeanu
Alex Babeanu is CTO at 3edges and a former Identity management specialist. He has been building software for big companies such as PeopleSoft or Oracle and evangelising the use of graphs for Identity since 2014.
Connect with him on LinkedIn.
In his session at NODES “How to Use Graphs for Real-Time Authorization Decisions” Alex describes how modern dynamic authorisation systems use graphs to make real-time decisions. He walks you through various authorisation concepts, actual use cases, which model and methodology fit which requirements best, and how to fit these in your development projects.
ARTIFICIAL INTELLIGENCE: Using Knowledge Graphs and LLMs for Implementing End to End Solutions
In his newsletter, Ajit Jaokar collects his thoughts on Knowledge Graphs and LLMs and how they work together. He starts with an introduction on ontologies, knowledge graphs and LLMs, then dives into use cases for combining LLMs and KG and why it matters.LANGCHAIN: Unleash CHATGPT Magic: Turbocharge Your Graph Database for Intelligent Conversations with LangChain and Neo4j
One of the pivotal elements in harnessing the full potential of generative AI models is integrating chat interfaces with internal data. In this article, Ayoola Fakoya delves into the crucial role of building chat interfaces that use internal data.KNOWLEDGE GRAPHS: A Simpler Way to Query Neo4j Knowledge Graphs
In this article, Wenqi Glantz is experimenting with the brand new Llama Pack for Neo4j. She explains seven query strategies and how to package and apply them.RAG: Constructing an Efficient Knowledge Graph RAG Pipeline with LlamaIndex
Retrieval Augmented Generation (RAG) is a solution to bridge this gap, allowing LLMs to access external knowledge sources. This article by Ankush Singal delves into RAG, examines its elements, and constructs a usable RAG workflow that harnesses the potential of LlamaIndex.TWEET OF THE WEEK: Rus
Finally playing with @neo4j + elastic to crawl and store webpages and how they are related (link_from / link_to) pic.twitter.com/qp9woIeWCn
— Rus (@tronpai) December 13, 2023
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