Module Overview
In this module, you will learn:
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What Retrieval Augmented Generation (RAG) is and how you can use it to improve GenerativeAI model responses.
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How vectors and embeddings work, and how they can be used in RAG to find relevant information.
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How to use a vector indexes in Neo4j and when they are useful for finding context for Generative AI applications.
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About GraphRAG techniques, and how they can be used to enhance information retrieval.
If you are ready, let’s get going!