Vectara's GenAI platform is designed to simplify the development of generative AI applications by handling heavy lifting such as document chunking, embedding, vector storage, state-of-the-art retrieval and summarization in a scalable and secure manner. The Vectara API provides native support for indexing text and uploading files, but often requires manual code to crawl source data, convert it into text, and ingest it using the API. This can be complex and hard to maintain over time, especially with enterprise data sources that require incremental updates. Airbyte, an open-source tool for data movement, offers a large breadth of connectors designed specifically to address the data ingestion problem, including one for Vectara's destination connector. By automating data ingestion using Airbyte and the Vectara destination connector, developers can build scalable enterprise-grade GenAI applications with immediate access to various data connectors. This integration allows users to easily index Google Drive into Vectara, build a question-answering application, and query the data using Vectara's Console or API. The combination of Airbyte and Vectara enables developers to focus on building their GenAI applications rather than dealing with the complexities of data ingestion.