BLISS x Neo4j: Powering GenAI with Knowledge Graphs
Details
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.
