Integrating AI Search into your Zoom Workplace

This text discusses the implementation of a simple Retrieval Augmented Generation (RAG) pipeline using Zoom Workplace data and Weaviate vector database. The integration is achieved through Zoom Developer Platform's API features, allowing communication, productivity, and engagement across digital interfaces connecting people worldwide. RAG enables applications to leverage large language models with contextual data not part of the initial training dataset. In this blog post, the author demonstrates how to integrate Weaviate directly into applications by leveraging Zoom Calendar and Mail data passed through Zoom Team Chat. The architecture includes Zoom Team Chat as an entry point for text input and retrieval of AI-powered search capabilities through Weaviate. The Orchestrator web service is responsible for updating data into Weaviate and responding to user queries with real-world data. Vector embeddings are used to find relevant documents in the vector database, allowing for highly customized inference without fine-tuning a new language model. The author also provides information on setting up Zoom Mail and Calendar features, as well as creating a cluster on Weaviate Cloud. Finally, the text mentions that the code for this project is available on GitHub and encourages readers to follow along with their tutorials or build amazing apps using Weaviate Cloud.