Building AI Assistants with Agentic Data Access using PromptQL | Amazon Web Services

Опубликовано 21 февраля 2025, 14:23

Learn how to create powerful AI assistants that can intelligently access and analyze data from multiple sources using PromptQL. This video demonstrates how to build an AI assistant that can:
-Query across multiple data sources including Postgres, BigQuery, and Zendesk
-Handle complex multi-step queries with context awareness
-Analyze customer data, support tickets, and revenue metrics
-Perform actions like issuing credits with human oversight
-Process natural language queries into structured data operations
Watch as we showcase a real customer support assistant in action and then walk through a step-by-step tutorial to build an e-commerce assistant in under 5 minutes using the Hasura Data Delivery Network (DDN). Perfect for developers looking to create AI-powered tools that can seamlessly interact with their business data.

Learn more at promptql.hasura.io and start building your own intelligent data assistants today.

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