What we’re about
Developers interested in learning about and working with graph databases for social, spatial, hierarchical or other highly connected data sets. We host hands-on lab sessions, technology reviews, topical lectures, and plenty of social beer nights. Curious about graphs or noSQL tech? Join us! more at http://www.neo4j.com
Interested to speak at this or future meetups? Fill this form: https://dev.neo4j.com/submit-your-talk
Sponsors
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Free Hands-on Online TrainingLearn about LLMs + Knowledge Graphs, RAG and more
Building Knowledge GraphsA Practitioner’s Guide by Jesús Barrasa & Jim Webber- Free Hands-on Online TrainingLearn about LLMs + Knowledge Graphs, RAG and more
- Building Knowledge GraphsA Practitioner’s Guide by Jesús Barrasa & Jim Webber
- Free Hands-on Online TrainingLearn about LLMs + Knowledge Graphs, RAG and more
- Building Knowledge GraphsA Practitioner’s Guide by Jesús Barrasa & Jim Webber
Upcoming events (3)
See all- Network event67 attendees from 16 groups hostingGraphacademy Live: Neo4j & LLM FundamentalsLink visible for attendees
Discover the power of integrating Neo4j with Generative AI models through Langchain.
Learn how to harness graph databases to enhance the accuracy and reliability of Large Language Models (LLMs) by grounding them with factual information, effectively preventing misinformation or 'hallucinations.' We go hands-on using Langchain and Python to seamlessly connect an LLM with Neo4j, leveraging Cypher and Vector Indexes for robust AI applications. Although our focus is on OpenAI models, Langchain's versatility allows for the exploration of various LLMs.
Presenter: Martin O'Hanlon
Full Course: https://graphacademy.neo4j.com/courses/llm-fundamentals/
- Network event74 attendees from 17 groups hostingNeo4j Live: Knowledge Graph Builder AppLink visible for attendees
Let's turn PDF documents into dynamic knowledge graphs stored in Neo4j with an easy to use app!
This innovative application harnesses the formidable capabilities of OpenAI's GPT and Diffbot LLM to seamlessly extract nodes, relationships, and properties from PDF text content. Using the advanced Langchain framework, we transform this information into a structured knowledge graph, empowering you to visualize and explore your data like never before.Learn how to effortlessly upload files from your local machine or S3 bucket and select the perfect LLM model to craft your knowledge graph.
Guests: Niels De Jong & Morgan Senechal, Neo4j
Github: https://github.com/neo4j-labs/llm-graph-builder - Network event11 attendees from 11 groups hostingNODES 2024 - Online Developer ConferenceLink visible for attendees
NODES, the premier developer conference dedicated to graph-powered applications and contextual AI, returns for its sixth year on November 7, 2024.
Join thousands of developers and data scientists in this free, 24-hour conference to learn about the latest GenAI innovations and gain insights from speakers showcasing their implementations, tools, and models.
### Submit Your Talk by June 15, 2024
The call for papers is open now through June 15, 2024. Submit an educational presentation demonstrating graph and Neo4j-related technologies, focusing on solution creation using code, data models, Cypher, or best practices.
Choose from three session formats:- 30-minute talks with Q&A
- 10-minute lightning talks
- 2-hour hands-on workshops
We accept submissions covering topics in four tracks:
#### Applications: Libraries, Frameworks, and Platforms
Discover how developers use Neo4j to power inventive solutions across software stacks, cloud providers, and programming languages.
#### AI: Generative AI, Knowledge Graphs, and Retrieval-Augmented Generation
Explore the intersection of groundbreaking research and real-world applications using graph technologies and techniques.
#### Data Science: Machine Learning, Graph Data Science, and AI Models
Learn advanced techniques in data curation and maintenance designed to fuel AI models.
#### Graphs: Visualization, Data Integrations, and Tips & Tricks
Unlock the power of graphs, connect knowledge graphs to broader data systems, and uncover expert tips and tricks.
Past events (70)
See all- Network event149 attendees from 17 groups hostingNeo4j Live: Graph Algorithms for Data ScienceThis event has passed
