Register: 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.