Join Dan from rconnect.tech as he introduces GQLPT, a npm library that transforms plain text into GraphQL queries. Learn how to set up a TypeScript instance of GQLPT and replace your existing GraphQL calls with simple plain text queries. Dan will also dive into advanced topics, showing you how to take GQLPT to production using RAG (Retrieval-Augmented Generation) and vectorized embeddings. This talk is perfect for developers looking to streamline their GraphQL workflow and leverage AI for more efficient API interactions.

Modeling, storing, and querying application data as a graph can help developers quickly get projects up and running by working with data the same way that we think about our domain: as a graph. In this talk we will explore how to apply this graph thinking technique to building GraphQL APIs using the Neo4j GraphQL Library and how we can leverage developer tools to go from idea to backend with nothing but graphs and GraphQL.

Darrell has recently spent a lot of time in and around the extensible GraphQL validation system. What started as a simple rule to fill a gap in the default rule set, soon turned into a plethora of custom rules to validate every detail of schema business logic in the Neo4j GraphQL Library. He will walk through some basic rules, and demonstrate how the system has been used to implement more complex logic.

So you spent all this time building and deploying your GraphQL API but your users are reporting slow queries and crashes. Before you can pinpoint those issues you first need to know how many requests you are getting, what each query was, and what’s going on in your resolvers. Join Dan where you will learn what observability is, how you can install it onto your GraphQL API, and how you can use it to improve your user's experience.