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BLISS x Neo4j: Powering GenAI with Knowledge Graphs

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Neo4j
BLISS x Neo4j: Powering GenAI with Knowledge Graphs

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Register: [https://www.meetup.com/bliss-speaker-series/events/308415769/ ](https://www.meetup.com/bliss-speaker-series/events/308415769/)

Generative AI models have the potential to increase productivity and provide access to data, but they need good context to be truly useful.
​In this hands-on workshop, you will learn how Knowledge Graphs and Retrieval Augmented Generation (RAG) can help your GenAI projects avoid hallucination and provide access to reliable data.
​In this hands-on workshop, you will:
​- Learn about Large Language Models (LLMs), hallucination and integrating knowledge graphs
​- Explore Retrieval Augmented Generation (RAG) and GraphRAG and their role in
​- Use vector indexes and embeddings to find similar data
​- Query graphs using natural language
​- Use Python and OpenAI to create GraphRAG retrievers and GenAI applications
​This workshop will put you on the path to controlling Generative AI applications and integrating them into your projects.

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Graph Database - DACH (Germany, Austria, Switzerland )
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