De qué se trata
Desarrolladores y consultores interesados en aprender acerca de y trabajar con bases de datos de grafos para redes sociales, clientes, bioinformática, datos espaciales y otros datos altamente conectados. Con presentaciones técnicas, sesiones prácticas de laboratorio, revisiones tecnológicas, y lecturas recomendadas. ¿Tienes curiosidad por los grafos, quieres extender tus conocimientos en NoSQL? ¡Únete a nosotros!
Graph Everywhere, solution partner de Neo4j, coordina las actividades del grupo en diferentes ciudades españolas.
Interested to speak at this or future meetups? Fill this form: https://dev.neo4j.com/submit-your-talk
Patrocinadores
Ver todo
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
Próximos eventos (3)
Ver todo- Evento de red65 asistentes de 16 grupos de organizadoresGraphacademy Live: Neo4j & LLM FundamentalsSolo los asistentes pueden ver el enlace
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/
- Evento de red74 asistentes de 17 grupos de organizadoresNeo4j Live: Knowledge Graph Builder AppSolo los asistentes pueden ver el enlace
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 - Evento de red9 asistentes de 9 grupos de organizadoresNODES 2024 - Online Developer ConferenceSolo los asistentes pueden ver el enlace
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.
Eventos pasados (93)
Ver todo- Evento de red149 asistentes de 17 grupos de organizadoresNeo4j Live: Graph Algorithms for Data ScienceEste evento ya se ha celebrado
