Welcome to This Week in Neo4j, your fix for news from the world of graph databases!
We are back this week after a longer break due to NODES 2024. Speaking of which, Have you watched any sessions? Did you see Ben Lorica’s Keynote “Tracking the Pulse of Generative AI”? Besides NODES, we celebrate the launch of a new GraphAcademy Course; look at the GraphRAG Python Package and build AI agents with Neo4j and LangChain.
I hope you enjoy this issue,
Alexander Erdl
COMING UP NEXT WEEK!
- Livestream: Neo4j Live: HybridAGI – Graph-Powered, Self-Programmable AI on November 19 & Going Meta S02E03 on November 20
- 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: Satej Sahu
Satej works as Principal Data Engineer at Zalando SE. With a strong track record of architecting scalable and efficient systems, Satej has successfully delivered data-driven and ML-applied solutions.
In his session at NODES 2024 “Enhancing RAG with Multi-Agent Integration”, he explores how graph data can enhance Retrieval-Augmented Generation (RAG) models, focusing on multi-agent integration to improve data validation through relationships. This session covers RAG basics, data validation challenges, and practical insights for using graph technologies to boost accuracy in AI projects.
NODES: Video Recordings
Did you attend NODES 2024 last week? In case you missed it, we are working on uploading the sessions from NODES over the coming weeks. A few sessions are already available, like the one above from Satej, the Keynote I mentioned in the editorial or Neo4j’s Product Vision and Update from Sudhir Hasbe.GRAPHACADEMY: Building Knowledge Graphs With LLMs
We launched a new GraphAcademy Course recently. This new course will teach you how to create and query knowledge graphs using large language models (LLMs). If you are a new or regular GraphAcademy user, the team is currently looking for feedback on usability, course content, and overall satisfaction.GRAPHRAG: GraphRAG Python Package
Zach Blumenfeld shows you how to go from zero to GraphRAG using the GraphRAG Python package and how to use different knowledge graph retrieval patterns to get different behaviour from your GenAI app.AGENTIC AI: Agentic GraphRAG With Neo4j and LangChain
Prince Krampah continues his series by building intelligent AI agents that apply the combined power of Neo4j’s graph capabilities and LangChain tools to deliver more precise, context-aware answers to user queries.POST OF THE WEEK: Renjith K
Please share it if you like it!
