Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases!
Once again, we are looking at the combination of Vector Search, OpenAI, LangChain and Neo4j, but this issue also brings you interesting posts on Cypher Improvements since Neo4j 5, we are getting hands-on with geospatial data and exploring digital forensics with graphs.
There is only one month to go till NODES 2023! On 5th and 10th October we are also conducting the final two Road to NODES workshops: GenAI & Geospatial Data. Will you be there?
I hope you enjoy this issue,Alexander Erdl
COMING UP NEXT WEEK!
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- Conferences: Meet us at QCon San Francisco on October 2 & JAX London on October 3
- Meetups: Join us in Istanbul: A Crash Course on Graph DBMSs on October 2
- All Neo4j Events: Webinar, Live demos, and More
- GraphSummit Series: Get Connected With Graphs. Next stop Milan on October 5
FEATURED NODES SPEAKER: Tomaz Bratanic
Tomaz loves to work with graphs and writes about various graph analytics approaches in his blog. He is very excited about the intersection of ML and Graph technologies.
Connect with him on LinkedIn.
Join him at NODES 2023 where Tomaz will demonstrate how using a knowledge graph as a storage object for answers gives you explicit and complete control over the answers provided by the chatbot and helps avoid hallucinations.
VECTORS: Explore OpenAI vector embedding with Neo4j, LangChain, and Wikipedia
Rob Brennan shares this write-up of his experience during a hackathon exploring AI and Large Language Models (LLMs) possibilities, how Neo4j works with vector embedding and the creation of a demo Retrieval-Augmented Generation (RAG) project.CYPHER: Did You Take the Neo4j 5 Cypher Bullet Train?
Pierre Halftermeyer compares, in a real use case, the performance of two queries doing the same job. Neo4j 5 introduced many improvements to Cypher, and he is looking at changes, particularly withCOUNT{<subquery>} (since 5.0) and Graph Pattern Matching with Quantified Path Patterns (since 5.9)
GEOSPATIAL: Importing Overture Maps Data Into Neo4j
Digital Forensics and Incident Response: Graphs for DFIR Analysis. The Roadmap
TWEET OF THE WEEK: Thomas Banafa
Our open access article (@keskma, Susa Eräranta, @PeltonenLasse) "Social network analysis of EU #Flood risk management plans: Case Finland" is now published: https://t.co/IawQDaXEpm
— Thomas Banafa (@ThomasBanafa) September 19, 2023
Special thanks to @SYKEinfo for support with the data, and to @mvtt_ry for funding!
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