The Fifth Elephant 2024 Annual Conference (12th &13th July)

In the era of big data, large language models (LLMs) are becoming increasingly important for tasks like question answering, document analysis, and chatbot development. However, traditional LLMs can often struggle with factual accuracy, reasoning, and handling complex information.

This talk introduces GraphRAG, a novel technique that leverages the power of knowledge graphs to empower LLMs. We’ll delve into the limitations of traditional LLMs and vector-only approach of RAG and explore how GraphRAG bridges the gap. GraphRAG equips LLMs with a deeper understanding of the world by utilizing enterprise data, boosting their accuracy, reasoning abilities, and handling of complex information.

This talk will explore the exciting world of GraphRAG, showcasing its potential to revolutionize various fields. We will also discuss real-world applications and case studies using SEC EDGAR dataset to illustrate the benefits of GraphRAG for practitioners in comparison to a vector-only approach.

1. Who is the audience for your session?

• Machine learning engineers and researchers interested in large language models (LLMs)
• Developers who want to build more advanced chatbots and virtual assistants
• Anyone interested in the future of AI and how LLMs are being improved

2. What problem/pain are you trying to solve (for the audience)?

• Traditional LLMs can struggle with factual accuracy, reasoning, and handling complex information.
• This can lead to unreliable chatbots, inaccurate answers to questions, and difficulty understanding the nuances of human language.

3. What will be the scope of your session?

• This talk will introduce GraphRAG, a new technique that uses knowledge graphs to improve the performance of LLMs.
• We will discuss the limitations of traditional LLMs and how GraphRAG addresses these limitations.
• We will also explore the potential applications of GraphRAG in various fields, such as question answering, document analysis, and chatbot development.

4. How will participants benefit from your session?

• Participants will gain a better understanding of how LLMs work and the challenges they face.
• They will learn about GraphRAG and how it can be used to improve the accuracy and reasoning abilities of LLMs.
• Participants will also walk away with practical tips on how to use GraphRAG in their own work.

5. What is the appropriate format for your session, given the audience and objectives that you have in mind?

• This session will be a talk, with a combination of lecture and presentation slides.
• There will also be a brief demonstration of GraphRAG in action.