Experimenting with LLM for data classification using Dgraph & jupyter notebook

Going through a jupyter notebook using Dgraph python client and a GraphQL client to deploy a GraphQL schema, Dgraph lambda, and experimenting with automatic data classification using text embedding. The text embedding is obtained using OpenAI REST API from Dgraph when an entity is created through your GraphQL mutations. Notebook available at https://github.com/dgraph-io/pydgraph/tree/master/examples/notebook