GenAI & Graph RAG Stage
About this Stage
The importance of knowledge graphs in GenAI development cannot be overstated. Gartner considers knowledge graphs essential to the development of GenAI and has urged data leaders to “leverage the power of LLMs with the robustness of knowledge graphs to build fault-tolerant AI applications.”
GraphRAG combines two powerful technologies: retrieval-augmented generation (RAG) and knowledge graphs. Retrieval-augmented generation (RAG) and graphs are a game-changing duo for anyone who wants accurate, explainable, and context-aware GenAI responses.
Here you will have the chance to learn from the best and take your GenAI & Graph RAG game to the next level.
The GenAI & Graph RAG Stage hosts Masterclasses and Panels. Active on December 11 and 13.
Stage Schedule
How to create knowledge graphs from structured and unstructured data based on entity resolution, to enhance downstream AI applications
Paco Nathan
We’re a cloud tech company that provides organisations around the world with computing infrastructure and software to help them innovate, unlock efficiencies and become more effective. We also created the world’s first – and only – autonomous database to help organise and secure our customers’ data.
