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Update content/guides/genai-leveraging-rag/index.md
Co-authored-by: Craig Osterhout <[email protected]>
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@@ -226,7 +226,7 @@ LLMs are trained on a fixed dataset up until a certain point in time. This means
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By incorporating RAG with a graph database such as Neo4j, AI models can access and retrieve the latest, relevant, and highly connected data before generating a response. This ensures that answers are up-to-date and grounded in factual information rather than inferred approximations.
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2. Addressing Business and Compliance Needs
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#### Addressing business and compliance needs
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Organizations in industries like healthcare, legal services, and financial analysis require their AI-driven solutions to be:
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