e-tissage

The yFiles Graphs for Jupyter widget exists for different graph technologies : Networkx✅, igraph✅, neo4j✅, pygraphviz✅ and any structured Python dictionaries and lists https://www.yworks.com/products/yfiles-graphs-for-jupyter

The purpose of this talk given at NODES 2024 is to

• give general understanding of how the cypher query planner works and the kind of things you need to know to analyses what takes times in a query processing
• give some insight on how to use EXPLAIN and PROFILE to identify what takes time in running a specific query
• give examples for you to build a better understanding of how cypher works under the hood

Fine-tuning for real time constrains or other very demanding performance constrains will NOT be addressed. This talk is for general understanding of difficulties to traverse graphs, hints about how the query planner plans query processing and some guidelines about the different parameters query processing time depends upon.


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• Explore Core Concepts – Gain a foundational understanding of how graph technologies enhance Generative AI applications. Learn about essential terms and concepts such as embeddings, vector search, and Graph #RAG.
• Learn about the #Neo4j property graph model – Understand how it can be leveraged to structure and query data effectively.
• Understand Limitations and Opportunities – Identify some of the current limitations of integrating graphs with LLMs and explore opportunities for overcoming these challenges.
• Receive Practical Resources – Walk away with a cheat sheet that includes technical basics, helpful documentation, and essential resources. You’ll also receive code examples for Neo4j and #LangChain to help you get started.

Whether you’re new to the potential of combining graphs with LLMs or need to convey these ideas to non-technical colleagues, this talk will help you move forward!

Slides & hands-on curriculum of the Introduction to Cypher presented in Malmö, Sweden for Pink Programming

Hands-On