Datavolo and Vectara are integrating their platforms to help build powerful GenAI apps by leveraging Retrieval Augmented Generation (RAG) and providing a serverless platform for embedding generative AI functionality into applications, chatbots, and products. Datavolo handles data acquisition and preprocessing using a visual development experience, while Vectara simplifies the RAG and ML pipeline needed for users to get insights from sources of knowledge. The integration allows users to index complex documents and data into Vectara's GenAI Platform, enabling features like question-answering interfaces, chatbots, and semantic search. With this partnership, teams can build powerful GenAI apps that provide rich answers to complex questions or act as an AI assistant, while reducing hallucination, providing explainability, enforcing access control, and allowing for real-time updatability of contextual knowledge.