We're facing a similar challenge with our Dialogflow CX chat-bot Agent which uses Vertex AI Search to answer user queries directly within Google Chat. Currently, our data source is hosted as a PDF in Cloud Storage, leading to inconsistencies in the chatbot responses. Sometimes it provides inaccurate information, and in other cases, it omits relevant data. We then migrated the data to BigQuery for improved accuracy and structure. However, it seems Vertex AI Search currently doesn't directly recognize BigQuery tables. Therefore, we're interested in knowing: Is it feasible for Vertex AI Search to be expanded to search and answer questions based on BigQuery tables with 50+ columns and 5,000+ rows?
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