This week’s newsletter features a few articles on GPT (version intentionally omitted), reflecting its increasing use with knowledge graphs. “An Ensemble Chatbot for Healthcare,” by Neo4j Ninja Sixing Huang and Hong Wang, describes how crowdsourcing chatbots can produce more accurate results. In “Knowledge Graph-Based Chatbot With GPT-3 and Neo4j,” Neo4j Ninja Tomaz Bratanic describes a knowledge graph-based approach to chatbots, where the chatbot returns answers based on information and facts stored in the knowledge graph.
Our development teams at Neo4j want to hear from you! Help us improve Neo4j by taking part in a 45-minute interview about all things Neo4j. You don’t need to be an expert – everyone is invited, wherever you are on your Neo4j learning path. If interested, please fill out this form and we will get back to you soon.
We are running a lot of community events, and welcome speakers to present about technical topics related to graphs. Tell us about your presentations and we will contact you with speaking opportunities.
COMING UP NEXT WEEK!
- Neo4j Live: OpenSanctions on March 21, 2023.
- Training Series: Intermediate Cypher on March 22,2023.
- Meetup: Graph Evolution: Harnessing the Future of Data Management on March 22, 2023.
- Meetups: What is Graph Data Science and Why Should You Care? on March 23, 2023.
- Training Series: Graph Data Modeling with Neo4j on March 24,2023.
- All Neo4j Events: Webinar, live demos, and more.
- GraphSummit Series: Get Connected With Graphs.
FEATURED NODES SPEAKER: Elena Kohlwey
In her NODES 2022 presentation, “User Change Modeling in Graph Applications,” she discusses the advantages and disadvantages of different modeling options. Watch her talk!
KNOWLEDGE GRAPH: KG-Based Chatbot With GPT-3 and Neo4jTomaz Bratanic explores a knowledge graph-based approach to chatbots, where the chatbot returns answers based on information and facts stored in the knowledge graph. Using a knowledge graph as a storage object for answers gives you explicit and complete control over the answers provided by the chatbot.
NATURAL LANGUAGE SEARCH: Generative AI, ChatGPT, and the Future of Graph TechnologyGemini Data added GPT-3 to their natural language search feature. End users can type what parts of a graph they’d like to see – or get answers to a specific question. The search captures the query and sends it to GPT-3 for analysis.
CHATBOT: An Ensemble Chatbot for HealthcareCan crowd sourcing chatbots produce more accurate results? Sixing Huang demonstrates an ensemble chatbot in Google Colab.
INTERVIEW: Neo4j at NASA: Chatting With David Meza
DATABASE: The Basics of Querying With Cypher in PostgreSQL Using Apache Age
FROM NODES TO ROWS: A Guide to Querying Graph DB Neo4j in Pandas/SQL Style Using Cypher
VISUALIZATION: Graph Data Model Interactions
TWEET OF THE WEEK: @lyonwjDon’t forget to retweet, if you like it!
🗺️🌐 New @Neo4j Bloom release includes support for coordinate layout for graph visualizations 🌐🗺️— William Lyon (@lyonwj) March 8, 2023
Here are all U.S. airport routes. Node size styled by PageRank and colors using Louvain community detection algorithm (also computed in Bloom!) #dataviz https://t.co/DvOampV13y pic.twitter.com/WzH2NpLLHV
… Of Special Interest
- Instructions for installing the Neo4j v5 on a Raspberry Pi 4 Check it out!
- The latest graph-representation of @TeamKujira FIN order books, derived from
market data-scrape transformed with graphista computed into the Neo4j graph database with Cypher queries.