Neo4j Integrates with Microsoft to Evolve Data Analytics and Enhance GenAI
By Enzo
March 26, 2024 8 mins read
Neo4j is thrilled to collaborate with Microsoft Fabric and Microsoft Azure OpenAI to rapidly deliver enterprise-grade GenAI applications.
Keywords: azure genai Knowledge Graph langchain Microsoft Microsoft Fabric neo4j openai unstructured data
What Is Retrieval-Augmented Generation (RAG)? — Overcoming the Limitations of Fine-Tuning & Vector-Only RAG
By Enzo
February 27, 2024 8 mins read
Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of LLMs by retrieving facts from external data sources.
Keywords: fine tuning information retrieval rag rag ai rag architecture rag chatbot rag llm retrieval augmented generation retrieval augmented generation rag semantic search
Unifying LLMs & Knowledge Graphs for GenAI: Use Cases & Best Practices
By Enzo
December 7, 2023 5 mins read
Learn how knowledge graphs and LLMs can be used together for retrieval-augmented generation (RAG), with use cases and examples.
Keywords: ai knowledge graph generative ai use cases Knowledge Graph langchain knowledge graph llm llm knowledge graph neo4j llm retrieval augmented generation
AWS and Neo4j Join Forces to Solve LLM Hallucinations and Evolve GenAI
By Enzo
November 21, 2023 4 mins read
We’re excited to announce the partnership between Neo4j and AWS to speed up enterprise AI development and resolve key LLM challenges.
Keywords: AWS gen ai llm hallucinations llm knowledge graph neo4j vector search
Introducing a New GenAI Stack for Developers
By Enzo
October 5, 2023 5 mins read
We’re excited to launch the new GenAI stack for building GenAI-powered applications with Neo4j, Docker, LangChain and Ollama.
Keywords: Developer docker genai genai stack Generative AI graph database Knowledge Graph langchain llm neo4j
The Definitive Guide to Building a Predictive Model in Python
By Enzo
June 16, 2023 12 mins read
Learn how to build a predictive model in Python, including the nuances of installing packages, reading data, and constructing the model step-by-step.
Keywords: Graph Analytics graph data science guide machine learning ML package predictive model python
Predictive Modeling Techniques: Types, Benefits & Algorithms
By Enzo
June 14, 2023 13 mins read
Predictive modeling helps businesses improve workflows, operations, and their bottom line. Learn the benefits, challenges, and common tasks and algorithms.
Keywords: ai algorithms anomaly classification clustering decision trees graph database insight k-means machine learning
NODES 2023 Is Coming in October, and You’re Invited!
By Molly Faris
May 4, 2023 3 mins read
NODES is back for its fifth year on October 26, 2023! It’s the biggest graph community gathering dedicated to learning how to integrate graph technologies into ML and dev projects. For 24 hours nonstop, speakers from around the world will… Read more →
Keywords: AI/ML data scientists developer community developers graph technology machine learning neo4j nodes NODES 2023
The Power of Knowledge Graphs and Conversational AI
By Angela Zimmerman
March 2, 2023 2 mins read
It’s no longer a question if Conversational AI will change the way we work, but rather how much. The explosive growth of OpenAI’s ChatGPT and now Microsoft’s AI-powered Bing and Google’s Bard show the appetite for conversational AI among consumers is insatiable.
Keywords: ai artificial intelligence ChatGPT conversational AI graph data science Knowledge Graph natural language processing neo4j graph data science
Announcing Neo4j Graph Data Science 2.3
By Enzo
February 1, 2023 5 mins read
We’re excited to announce Neo4j Graph Data Science 2.3, which includes new algorithms, new graph embedding, and performance improvements.
Keywords: algorithms Data Scientist GDS graph data science graph database graph embedding hashgnn machine learning neo4j prediction
Graph Databases for Beginners: Why Graph Technology Is the Future
By Bryce Merkl Sasaki
January 19, 2023 7 mins read
The world of graph technology has changed (and is still changing), so we’re rebooting our “Graph Databases for Beginners” series to reflect what’s new in the world of graph tech – while also helping newcomers catch up to speed with… Read more →
Keywords: Big Data Connected Data graph database graph technology Graph Theory index free adjacency native graph database neo4j nosql rdbms
The Visual Simplicity of Graph: The 5-Minute Interview With Folks From Fractal 5
By Angela Zimmerman
January 18, 2023 4 mins read
“Everything is a graph. So as far as Neo’s development and the advances it’s made in the speed and adoption of more data – and more mature data – everyone can leverage all the developments in regards to graph neural networks and such. And that lends itself to a better world altogether,” Bjartur Hjaltason, machine learning engineer at Fractal 5.
Keywords: 5-minute interview Connected Data Developer Fractal 5 graph technology Interview machine learning Social Networks
Better AI With Neo4j and Azure Machine Learning
By Enzo
December 9, 2022 5 mins read
Learn how to integrate Neo4j’s Graph Feature Engineering capabilities with Azure Machine Learning for better AI.
Keywords: ai artificial intelligence azure cypher data science embeddings graph graph data science graph feature engineering integration
Announcing Graph Feature Engineering with Neo4j and Amazon SageMaker
By Angela Zimmerman
November 3, 2022 3 mins read
As many who have been following this space know, the evolution of analytics has compelled many organizations to invest in predictability – that is, predicting future outcomes from existing datasets.
Keywords: AWS SageMaker data scientists feature engineering maching learning neo4j neo4j graph data science predictive analytics SageMaker
A Machine Learning Innovation in Predictive Analytics
By Enzo
September 23, 2022 14 mins read
Discover how graph-based machine learning gives you more accurate predictions, using the CORA dataset as an example.
Keywords: Bloom CORA graph algorithms graph data platform graph data science graph embeddings machine learning ML neo4j node classification
Graph Data Science on Google Cloud: Neo4j AuraDS and Vertex AI
By Angela Zimmerman
June 14, 2022 7 mins read
This spring, Neo4j released a new 2.0 version of the Neo4j Graph Data Science Platform. This makes it incredibly simple to get started on Google Cloud with the general availability of Neo4j AuraDS, the Graph Data Science as a Service solution.
Keywords: ai Aura AuraDS Google Cloud google cloud marketplace graph data science graph embeddings machine learning neo4j graph data science
GraphConnect 2022: 10 Sessions You Don’t Want to Miss
By Enzo
May 24, 2022 10 mins read
Here are 10 highly-anticipated GraphConnect 2022 presentations (among 130+ sessions) that you don’t want to miss.
Keywords: accenture Adobe Agenda audience Austin blockchain cybersecurity data science dell Developer
Our Journey to Self-Discovery: Synthesizing 30 Years of Data Pipelines With Knowledge Graphs
By Enzo
May 17, 2022 10 mins read
Find out how LPL Financial uses knowledge graphs in the FinServ industry to synthesize 30 years of data pipelines.
Keywords: ai data pipelines finserv graph database knowledge graphs LPL financial neo4j self-discovery transformation
Achieve Unrivaled Speed and Scalability With Neo4j
By Angela Zimmerman
May 2, 2022 11 mins read
In this blog, we will explore how to reframe the complexity of scalability in a more useful way and look at sources and patterns to demonstrate how it manifests in graphs.
Keywords: AI / Machine Learning algorithms database scalability Graph Analytics graph database graph native scale graph technology neo4j Scale sharding
Cybersecurity: To Graph or Not to Graph. That Is the Query.
By Angela Zimmerman
April 15, 2022 4 mins read
Don’t miss these insightful presentations on cybersecurity from the event Connections: Combatting Modern Cyber Threats with Graph Databases.
Keywords: Analytics cloud connections cyberattack cybersecurity cyberthreats digital twin graph Graph Databases insights
The Future of AI: Machine Learning and Knowledge Graphs
By Enzo
March 11, 2022 10 mins read
Using knowledge graphs and AI together can improve the accuracy of the outcomes and augment the potential of machine learning approaches.
Keywords: ai AI/ML artificial intelligence context Contextual AI data sourcing Graph Machine Learning knowledge graphs machine learning ML
Graphie Winner for Supply Chain Excellence: 5-Minute Interview with OrbitMI
By Angela Zimmerman
March 9, 2022 10 mins read
Neo4j honored OrbitMI and their Graph Ecosystem with a Graphie Award for Supply Chain Excellence, and we got three leaders together to ask them some questions about their work in the graph database space, how Neo4j helped them innovate, and what they see on the horizon for connected data.
Keywords: 2021 graphie awards 5-minute interview Connected Data Global Supply Chain graph database Graph Ecosystem Graphie Award OrbitMI supply chain management
Graph Embeddings: AI That Learns from Your Data to Solve Problems
By Enzo
March 4, 2022 11 mins read
Graph embeddings learn the structure of your connected data, revealing new ways to solve your pressing problems.
Keywords: ai artificial intelligence embeddings GDS graph data science graph database graph embeddings machine learning math ML
Graph Data Science Use Cases: Entity Resolution
By Angela Zimmerman
February 14, 2022 6 mins read
Entity resolution, or disambiguation, is a widely applicable approach to resolve data into unique and valuable entity profiles. Without this crucial process, organizations are left making key decisions based on incomplete, misleading data.
Keywords: cypher entity resolution GDS GDS library graph data science graph data science library graph database link prediction
Enabling Your Business with the Power of Connected Data
By Angela Zimmerman
February 9, 2022 3 mins read
This blog post will cover some high-level architecture designs to help you get started with a minimal setup.
Keywords: AI / Machine Learning architecture cloud Connected Data Enterprise GCP Graph Analytics graph analytics platform graph data platform graph database