Rackspace delivers custom enterprise chatbot powered by generative AI

Rackspace implemented a personalized AI chatbot utilizing Azure OpenAI and Azure AI Search. Employing Retrieval-Augmented Generation (RAG), the solution enables users to query a knowledge base and receive natural language responses created by the GPT-4 model. The architecture integrates Azure Cognitive Search for retrieving relevant enterprise data with Azure OpenAI for generating responses. Deployment is managed via Azure App Service, ensuring scalable and secure access for enterprise clients. Terraform scripts automate resource deployment, including Azure Cognitive Search, Azure OpenAI, and storage. The knowledge base is hosted in Azure Blob Storage, indexed into Azure Cognitive Search for fast retrieval. The chatbot can be customized for different data sources and industries, and responses are tailored to enterprise needs. After deployment, chat records can be stored in Cosmos DB (if chat history is enabled). The approach reduces model hallucination, enhances response accuracy, and allows for rich, context-relevant information retrieval.