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Conclusion

Explore the core achievements of the course, including understanding graph RAG principles, building and scaling knowledge graphs, mastering Neo4j queries, and integrating knowledge graphs with LLMs. Learn how these skills empower you to create accurate and contextual AI chatbot responses and apply advanced techniques for future generative AI projects.

Congratulations on completing this course! Throughout this journey, we have achieved several key milestones that empower us to leverage the power of graph-based retrieval-augmented generation in our projects.

Knowledge graphs and LLMs have a synergistic relationship where each enhances the other’s capabilities. Knowledge graphs provide structured, reliable information that improves the accuracy, relevance, and consistency of LLM responses, while LLMs help construct knowledge graphs.

A cyclic relationship between LLMs and knowledge graphs
A cyclic relationship between LLMs and knowledge graphs

What we have achieved

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