Register: https://luma.com/gs2ebz93

An event co-hosted by Daytona, Lago, Neo4j & Koyeb dedicated to exploring all things AI Engineering!

Agentic GraphRAG with MCP

​​​🎤 Tomaz Bratanic, Graph ML and GenAI research at Neo4j

​​​Outline:

​RAG works—until complex context kicks in. GraphRAG upgrades it by weaving in knowledge graphs to structure retrieval, boost relevance, and enable explainable, precise generation. Learn how it fuses symbolic reasoning with neural search to power next-gen, context-aware agentic AI.

Register: https://www.meetup.com/de-DE/cologne-ai-and-machine-learning-meetup/events/305829303/

We will have two talks with additional time for networking. Talk 1: Tomaz Bratanic (Graph ML and GenAI research at Neo4j): Agentic GraphRAG with MCP servers Talk 2: Pablo Iyu Guerrero (AI Inference Engineer at Aleph Alpha) and Lukas Blübaum (AI Engineer at Aleph Alpha): Tokenizer-free language model inference

RAG is powerful, but only when the right context fuels it. Join us in this livestream as we sit down with Tomaz Bratanic, author of the book "Essential GraphRAG", to explore how knowledge graphs can elevate your Retrieval-Augmented Generation (RAG) systems - from basic retrieval to breakthrough reasoning. We will discuss how to: - Build a GraphRAG system from scratch - Construct and query knowledge graphs with Cypher - Evaluate and tune your pipeline for performance and traceability - Use LLMs to extract structure from unstructured data - Design Agentic RAG systems that reason and act on graph-based context

Book: https://www.manning.com/books/essential-graphrag Guest: Tomaz Bratanic https://www.linkedin.com/in/tomaz-bratanic-a58891127/

neo4j #graphdatabase #query #DatabaseArchitecture #researchc

RAG is powerful, but only when the right context fuels it. Join us in this livestream as we sit down with Tomaz Bratanic, author of the book "Essential GraphRAG", to explore how knowledge graphs can elevate your Retrieval-Augmented Generation (RAG) systems - from basic retrieval to breakthrough reasoning. We will discuss how to: - Build a GraphRAG system from scratch - Construct and query knowledge graphs with Cypher - Evaluate and tune your pipeline for performance and traceability - Use LLMs to extract structure from unstructured data - Design Agentic RAG systems that reason and act on graph-based context

Book: https://www.manning.com/books/essential-graphrag Guest: Tomaz Bratanic https://www.linkedin.com/in/tomaz-bratanic-a58891127/

neo4j #graphdatabase #query #DatabaseArchitecture #researchc

RAG is powerful, but only when the right context fuels it. Join us in this livestream as we sit down with Tomaz Bratanic, author of the book "Essential GraphRAG", to explore how knowledge graphs can elevate your Retrieval-Augmented Generation (RAG) systems - from basic retrieval to breakthrough reasoning. We will discuss how to: - Build a GraphRAG system from scratch - Construct and query knowledge graphs with Cypher - Evaluate and tune your pipeline for performance and traceability - Use LLMs to extract structure from unstructured data - Design Agentic RAG systems that reason and act on graph-based context

Book: https://www.manning.com/books/essential-graphrag Guest: Tomaz Bratanic https://www.linkedin.com/in/tomaz-bratanic-a58891127/

neo4j #graphdatabase #query #DatabaseArchitecture #researchc

RAG is powerful, but only when the right context fuels it. Join us in this livestream as we sit down with Tomaz Bratanic, author of the book "Essential GraphRAG", to explore how knowledge graphs can elevate your Retrieval-Augmented Generation (RAG) systems - from basic retrieval to breakthrough reasoning. We will discuss how to: - Build a GraphRAG system from scratch - Construct and query knowledge graphs with Cypher - Evaluate and tune your pipeline for performance and traceability - Use LLMs to extract structure from unstructured data - Design Agentic RAG systems that reason and act on graph-based context

Book: https://www.manning.com/books/essential-graphrag Guest: Tomaz Bratanic https://www.linkedin.com/in/tomaz-bratanic-a58891127/

neo4j #graphdatabase #query #DatabaseArchitecture #researchc

Our 1st AI Alliance event is sponsored by Neo4j, Ekimetrics & Convex.

​The Paris AI Agent Meetup is a new community for AI Agent Developers, Engineers, UX, Ops, and Applied Researchers exploring and leading the evolution of AI agents. Whether you're building autonomous systems, experimenting with LLM-powered assistants, or integrating AI agents into real-world applications, this meetup is the place to discover, share insights, and collaborate with your peers. Join us for talks, demos, discussions and networking with like-minded innovators shaping the next generation of AI.

• ​7:00 pm – Check-in & Networking
• ​​7:30 pm – Introductions & Welcome - Agata Ferretti of The AI Alliance
• ​7:40 pm - Graph-based RAG Agent for scientific publications Jean Lelong & Annabelle Blangero - Ekimetrics
• ​8:00 pm - Agentic GraphRAG with MCP - Tomaz Bratanic of Neo4j
• ​​8:20 pm – Agentic Workflows with Mistral Agents API - Diogo Costa, Mistral
• ​​8:40 pm - ​TBD by Joe Olson of The AI Alliance
• ​9:00 pm - Open Networking
• ​10:30 pm – Close

We look forward to building Paris's AI Agent community together! 🚀 ​Food and drink, engaging conversation, and incredible company will all be provided!

Our 1st AI Alliance event is sponsored by Neo4j, Ekimetrics & Convex. ​ Why join? This is your chance to dive deep into the world of AI agents, connect with a new and emerging developer community. This event is designed for experienced developers, and those who are curious about agents. ​​​ Please be advised: Unfortunately, space is very limited at these community events and we can not always accept everyone we would like to. We appreciate your application and are looking forward to seeing you at a future even!

​​*Code of Conduct: We expect our members to treat each other like family, so please click here to read our Code of Conduct. If you see someone violating it, please speak with your event organizer or reach out to [email protected].*

​​​​The AI Alliance is a non-profit, grassroots community of 150+ companies, startups, researchers, and individuals. Through world-class events, online events, and workshops, members leverage their diverse perspectives and innovative minds to foster meaningful relationships, solve challenging problems, and define the future of AI.

We are very excited to collaborate with the AI Alliance, Ekimetrics, Mistral, and Comet to bring you the AI Agent Meetup in Paris on June 12!

Please Register on the Luma Event Page

The Paris AI Agent Meetup is designed for AI Agent Developers, Engineers, UX, Ops, and Applied Researchers exploring and leading the evolution of AI agents. Whether you're building autonomous systems, experimenting with LLM-powered assistants, or integrating AI agents into real-world applications, this meetup is the place to discover, share insights, and collaborate with your peers. Join us for talks, demos, discussions, and networking with like-minded innovators shaping the next generation of AI.

​​📆 Agenda

• ​​7:00 p.m. – Checking & Networking
• ​​7:30 p.m. – Introductions & Welcome - Agata Ferretti of The AI Alliance
• ​7:40 p.m. - Graph-Based RAG Agent for Scientific Publications Jean Lelong & Annabelle Blangero - Ekimetrics
• ​8:00 p.m. - Agentic GraphRAG with MCP - Tomaz Bratanic of Neo4j
• ​​8:20 p.m. – Agentic Workflows with Mistral Agents API - Diogo Costa, Mistral
• ​​8:40 p.m. - TBD
• ​9:00 p.m. - Open Networking
• ​10:30 p.m. – Close

​​We look forward to building Paris's AI Agent community together! 🚀 ​Food and drink, engaging conversation, and incredible company will all be provided!

Register: https://lu.ma/zdu7t3l8

We're back with AI Engineer London Meetup #6! ​London's go-to meetup for AI practitioners, researchers, builders and founders. ​Join us for an evening of talks, drinks and networking with fellow AI enthusiasts! ​​​Note we have limited space and attendance approval is made on a first-come basis. Registrations only via the lu.ma link above!

Speakers: Tomaz Bratanic - Agentic GraphRAG Andrew and Ben, Motorway - Prepping Vehicles using GenAI and Search Robert Shin, Granola - What does AI engineering mean at Granola?

Tomaz Bratanic recently published "Graph Algorithms for Data Science" and in this livestream we are talking about his book and the potential of graph-based data analysis.

In this live session, you'll learn about labelled-property graph modelling, constructing graphs from structured and unstructured data, the Cypher query language, social network analysis algorithms, and translating graph structures for machine learning models. Tomaz will share insights on applying these techniques in fields such as machine learning, fraud detection, and business data analysis, complemented by hands-on projects like analyzing Twitter data and building graphs with NLP techniques.

More about the Book: https://www.manning.com/books/graph-algorithms-for-data-science

Tomaz Bratanic recently published "Graph Algorithms for Data Science" and in this livestream we are talking about his book and the potential of graph-based data analysis.

In this live session, you'll learn about labelled-property graph modelling, constructing graphs from structured and unstructured data, the Cypher query language, social network analysis algorithms, and translating graph structures for machine learning models. Tomaz will share insights on applying these techniques in fields such as machine learning, fraud detection, and business data analysis, complemented by hands-on projects like analyzing Twitter data and building graphs with NLP techniques.

More about the Book: https://www.manning.com/books/graph-algorithms-for-data-science

Tomaz Bratanic recently published "Graph Algorithms for Data Science" and in this livestream we are talking about his book and the potential of graph-based data analysis.

In this live session, you'll learn about labelled-property graph modelling, constructing graphs from structured and unstructured data, the Cypher query language, social network analysis algorithms, and translating graph structures for machine learning models. Tomaz will share insights on applying these techniques in fields such as machine learning, fraud detection, and business data analysis, complemented by hands-on projects like analyzing Twitter data and building graphs with NLP techniques.

More about the Book: https://www.manning.com/books/graph-algorithms-for-data-science

Tomaz Bratanic recently published "Graph Algorithms for Data Science" and in this livestream we are talking about his book and the potential of graph-based data analysis.

In this live session, you'll learn about labelled-property graph modelling, constructing graphs from structured and unstructured data, the Cypher query language, social network analysis algorithms, and translating graph structures for machine learning models. Tomaz will share insights on applying these techniques in fields such as machine learning, fraud detection, and business data analysis, complemented by hands-on projects like analyzing Twitter data and building graphs with NLP techniques.

More about the Book: https://www.manning.com/books/graph-algorithms-for-data-science