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Title & Speakers	Event
Vector Space Day 2025-09-26 · 07:00 Register: https://luma.com/p7w9uqtz?tk=XlH6v1 Vector Space Day is bringing together engineers, researchers, and AI builders to explore the cutting edge of retrieval, vector search infrastructure, and agentic AI. We’re excited that Martin O'Hanlon from Neo4j will be speaking! His session, Hands On with GraphRAG, is a practical exploration of how graphs strengthen RAG. Attendees will learn how to: -Build a Knowledge Graph from unstructured data -Use GraphRAG to provide grounding and context for generative AI -Improve vector retrieval with graph structures -Integrate GraphRAG tools into a LangChain agent Join us in Berlin for a hands-on look at how Knowledge Graphs + RAG create more reliable and context-aware AI applications:	Vector Space Day
Bringing Context to Generative AI: Practical Applications of RAG 2025-07-17 · 17:00 Join us at PyData Milton Keynes for an insightful session on Generative AI and Retrieval-Augmented Generation (RAG) using Python. This event will explore how to combine the power of large language models with dynamic information retrieval to build intelligent, context-aware systems. We’ll cover the fundamentals of RAG, walk through practical implementations using open-source tools like Hugging Face, LangChain and discuss real-world use cases such as document Q&A and enterprise search. Whether you're just starting out with LLMs or looking to deploy advanced AI solutions, this session will provide valuable knowledge and inspiration. Don’t miss this opportunity to deepen your understanding of GenAI and connect with fellow data professionals in the PyData community.	Bringing Context to Generative AI: Practical Applications of RAG

Vector Space Day is bringing together engineers, researchers, and AI builders to explore the cutting edge of retrieval, vector search infrastructure, and agentic AI.

We’re excited that Martin O'Hanlon from Neo4j will be speaking!

His session, Hands On with GraphRAG, is a practical exploration of how graphs strengthen RAG. Attendees will learn how to: -Build a Knowledge Graph from unstructured data -Use GraphRAG to provide grounding and context for generative AI -Improve vector retrieval with graph structures -Integrate GraphRAG tools into a LangChain agent

Join us in Berlin for a hands-on look at how Knowledge Graphs + RAG create more reliable and context-aware AI applications:

Join us at PyData Milton Keynes for an insightful session on Generative AI and Retrieval-Augmented Generation (RAG) using Python. This event will explore how to combine the power of large language models with dynamic information retrieval to build intelligent, context-aware systems. We’ll cover the fundamentals of RAG, walk through practical implementations using open-source tools like Hugging Face, LangChain and discuss real-world use cases such as document Q&A and enterprise search. Whether you're just starting out with LLMs or looking to deploy advanced AI solutions, this session will provide valuable knowledge and inspiration. Don’t miss this opportunity to deepen your understanding of GenAI and connect with fellow data professionals in the PyData community.

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