This blog post explores the application of a vector database for Retrieval Augmented Generation (RAG) using Weaviate and Zoom's Developer Platform. It demonstrates how to integrate Weaviate into applications to enhance AI-powered search capabilities within Zoom, particularly through the use of Zoom Team Chat. The process involves using APIs to retrieve Zoom Calendar and Mail data, which is then embedded in Weaviate for efficient data management and retrieval. A web service, termed the Orchestrator, updates Weaviate with new data and handles user queries by retrieving relevant information, which is processed by a language model to generate responses. The blog also discusses the setup and functionality of Weaviate, including the creation of a collection for vector embeddings using OpenAI's vectorizer to enhance search accuracy and efficiency.