How to Build AI Search and Insights Across Google Drive, Slack, Zendesk, and Notion
Blog post from Unified.to
Building AI search features across B2B SaaS products enables users to ask natural language questions about their company's internal knowledge and operational data, spanning multiple platforms like Google Drive, Slack, Zendesk, and Notion. Unified simplifies this process by providing normalized APIs that allow developers to retrieve documents, conversations, and support records through consistent objects and endpoints, reducing the need for multiple integrations and enabling seamless AI search capabilities. AI search systems typically use a retrieval-augmented generation (RAG) architecture to extract and process data from connected sources, generate embeddings, and use these to provide AI-generated responses grounded in enterprise knowledge. By supporting numerous platforms and offering unified authentication and real-time data synchronization through webhook events, Unified empowers SaaS products to enhance customer experiences by integrating comprehensive AI search functionality across various enterprise tools.