About us
GraphDB-MX es un grupo para todos los interesados en conocer una de las bases de datos orientada a grafos mas importante como lo es NEO4J, compartiremos conocimiento entre toda la comunidad realizaremos reuniones y trabajos en equipo para reforzar nuestro conocimiento. Hagamos de esta comunidad una de las mas importantes en México.
También pueden unirse al canal de slack dando click en el siguiente link: https://join.slack.com/t/graphdb-mx/shared_invite/enQtOTM0MDg2NDk1NjY4LTc0MzkzOGYyMjFmZjA5NWRhYzljMTQ2Y2IzM2U0MmI3YmRkNjRjMDE3NWUyNGNmOTc0MTc0OTg1MDU1MjJlNGE
Aquí estaremos compartiendo más datos acerca de graphDB-MX, eventos y post relacionados...
Saludos, un calido abrazo y hagamos networking!
Upcoming events
2
- Network event
Hackathon: Relate by Neo4j
·OnlineOnline40 attendees from 32 groupsRegistration here for Relate by Neo4j Hackathon is required. Not on Meetup.
RELATE BY NEO4J
An open-source embedded database for AI agents.
Relate is an open-source embedded database for AI agents and the engineers who build them. It runs as a library inside your application, with no signup or server to deploy.🌐 THE CHALLENGE: CONTEXT, CONNECTED
Join the Relate by Neo4j Hackathon, a month-long online event celebrating the launch of Relate at NODES 2026.
Build a project that shows how connected data helps agents, apps, or people find and use the relationships that matter. Your project can be new or extend something you already have. Share your code and documentation so others can learn from and reuse your work.
💡 WHAT’S RELATE?
Relate is an embedded database that lets AI agents build and understand relationships across any data. It runs inside your application. Use it from the command line, as a library in Rust or Python, or in a browser tab with WebAssembly. One command installs a skill into the coding agents you already use, so they can find it and start using it on their own. It also stays connected to the Neo4j ecosystem through Cypher, Bolt, HTTP, and MCP.⚡ INSTALL AND GO
Add Relate to your coding agent with one command. No server to run.🔎 QUERY THE GRAPH IN PROCESS
Traverse relationships and run vector searches without network calls.🤖 GET AGENT-READY RESULTS
Return JSON with row limits and errors that explain how to fix them.🔄 SHARE GRAPH STATE SAFELY
Transactions let multiple agents update the same graph without clobbering each other.📦 KEEP IT LIGHTWEIGHT
Store each graph in one file, set memory limits, and delete it when you’re done.🔗 BUILD LOCALLY, CONNECT WHEN NEEDED
Pull a subgraph from Neo4j and query it with Cypher through MCP, Bolt, or HTTP.🌍 EXPLORE IN THE BROWSER
Use the WebAssembly build to create interactive graph views, with nothing to install.🏆 PRIZES
Build and share your project for a chance to win a Mac Studio or one of two Mac minis. Prizes are awarded per winning project. (Terms & Conditions & Eligibility can be seen on the Hackaton site)📅 WHEN
November 11 to December 11, 2026💻 WHERE
Ready to join? Visit the hackathon on Devpost for the challenge details and to participate:
https://dev.neo4j.com/relate-meetup1 attendee from this group - Network event
Neo4j Live: Graph Engineering - Making Agent Workflows Repeatable
·OnlineOnline49 attendees from 22 groupsYour agent takes a different path every run, and you can’t explain why. Graph engineering fixes that by designing agent work as an explicit graph: nodes do the work, edges decide what runs next.
We cover:
- The three graphs behind the term: execution, context, and procedure graphs
- How graphs give you predictable paths, an audit trail, and portability across agent frameworks
- How to turn a skill into a procedure graph (research result: pass rate up from 53% to 67% on 27 tasks)
- A live demo: a loan-approval agent that runs faster on a smaller modelGuest: Zach Blumenfeld ( https://www.linkedin.com/in/zachblumenfeld/ ) Blog:
#neo4j #graphdatabase #agenticai #knowledgelayer #knowledgegraph #graphrag #graphengineering
Past events
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