Reusable templates, pipelines, and tools to streamline the setup of GenAI projects, saving time and effort, and ensuring consistency and reliability across projects.
This code story describes CSE's work with ZenCity to create a data pipeline on Azure Databricks supported by a CI/CD pipeline on TravisCI. The aim of the collaboration was to create a pipeline capable of processing a stream of social posts, analyzing them, and identifying trends.
Learn how to build a pipeline for processing a corpus of documents to discover its entities and relations, then store the derived relations in a database representing a graph.
