Enterprise Knowledge Graphs
Tim and Zak discuss the challenges of implementing knowledge graphs in large companies, highlighting the need for decoupling semantic data and the difficulties in maintaining data quality. They question the feasibility of smaller corporations achieving what tech giants like Google and Microsoft can in this area.In this clip
From this podcast
Machine Learning Street Talk (MLST)
WelcomeAIOverlords (Zak Jost)
Related Questions
What is a knowledge graph?
What is the knowledge graph life cycle?
I'm thinking that classical or deep ML solutions have a flaw in that they cannot be extended. For example, if one builds a model and wants to introduce a new feature, typically the model has to be retrained from scratch. So, I'm considering building a Knowledge Graph using LLMs. This knowledge graph would have to include time-dependent data (for example, it should be able to retrieve the "current" President of the USA and also previous presidents if asked). I'm thinking this Knowledge Graph could be used for Retrieval Augmented Generation (RAG) to help with business goals or maybe used with more clever User Interfaces (UIs). I'm not sure how to build or populate this KG and also have a rough idea of how to use it. Can you help me with suggesting particular paths for building and populating this Knowledge Graph?