Conversational Artificial Intelligence with Neo4j and the Unreal Engine — Part 3
July 27, 2023 6 mins read
In the previous part, we considered an example of describing how to handle logical conflicts on the basis of linguistic theories. We also sketched how we can introduce intentionality in AI by using Behavior Trees (BT). Let’s suppose, now that… Read more →
Explore: conversational AI • dialogue-systems • digital humanities • Graph Analytics
Building a Recommendation Engine Using Neo4j Hands-On — Part 2
13 mins read
From Data Model to Loading Data to Making RecommendationsImage by AuthorYou can find part 1 of this series here, in which we decided on the strategy for making recommendations and designed our data model incrementally. In this article, we will be… Read more →
Explore: Recommendation Engine • recommendation system • Recommendations • recommender-systems
Streaming Data from Confluent Cloud to AuraDB for Real-Time Graph Analytics (Part 1)
July 25, 2023 3 mins read
Neo4j now supports Confluent’s Custom Connectors so that customers can stream data from Confluent Cloud into Neo4j AuraDB to perform real-time graph analytics.This integration comes as a result of our ongoing partnership with Confluent and our joint commitment to empowering… Read more →
Explore: AuraDB • Cloud • Confluent Cloud • confluent-kafka • connector • Graph Analytics • partnership-announcement • streaming
This Week in Neo4j: Cluster Analysis, Entity Resolution, Cloud Integrations, Docker, and More
July 15, 2023 3 mins read
Check out what’s new this week in Neo4j, including Superhero dataset, Workspace updates, synthetic data, LLM, streaming graph data, and more.
Explore: ai • Cloud • cluster analysis • data science • Docker • entity resolution • graph data science • graph database • Large Language Model • llm
Knowledge Graph vs. Vector Database for Grounding Your LLM
July 13, 2023 3 mins read
Explore the benefits of grounding Large Language Models (LLMs) in knowledge graphs vs. vector databases for reliable and accurate data.
Explore: artificial intelligence • Generative AI • Knowledge Graph • Large Language Model • llm • llm hallucination • machine learning • ML • retrieval augmented generation • vector database
NeoDash 2.3: Create Graph Dashboards With LLM-Powered Natural Language Queries
5 mins read
We’re excited to announce that NeoDash 2.3 is finally here! This update brings a fresh new look, improved performance for handling large dashboards, and an array of exciting visualization features. You can check it out for yourself at https://neodash.graphapp.io/.Beyond improvements… Read more →
Knowledge Graphs & LLMs: Real-Time Graph Analytics
July 12, 2023 9 mins read
Understanding data points through the context of their relationshipsThis is the fourth blog post of Neo4j’s NaLLM project. We started this project to explore, develop, and showcase practical uses of these LLMs in conjunction with Neo4j. As part of this… Read more →
Explore: Analytics • ChatGPT • graph
Medical Subject Headings (MeSH) Into Neo4j
July 10, 2023 4 mins read
To make a knowledge graph, it is useful to have a vocabulary in place, which is called an ontology.The Medical Subject Headings is one such ontology, which includes many of the medical terms that are currently being used.It can be… Read more →
Explore: drug discovery • graph • medical-subject-headings
Neo4j GraphQL Toolbox — Improved!
4 mins read
GraphQL users benefit from the amazing tooling in the ecosystem to write and execute queries and we want to provide a similarly great experience for the Neo4j GraphQL Library.Back in July last year, we released a beta version of a developer… Read more →
Explore: API • developer tools • GraphQL • Neo4j GraphQL Toolbox • user-interface