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Build AI-Ready Data Architectures with MongoDB and Hasura

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“This is where we'll start to gain an appreciation for how Promptql is able to build with 100% accuracy. It's the supergraph layer. And this is the powerful thing that creates these experiences, and really the only reason that something like Promptql is able to be 100% accurate.”

“We now have a reliable way to query the backend data source. We're not feeding things into AI—we're taking information and querying, using optimized queries.”

“And this is where the benefit of taking an agentic approach comes in. By using a python runtime in collaboration with an LLM of your choice, you're starting to use a best of breed approach in exactly the same way that a human would run some of these queries.”

— Adam Malone, Director of Worldwide Solutions Engineering for Hasura

If you missed our webinar about building AI-Ready data architectures with Hasura and MongoDB—or just want to catch up on some of the key moments—the session is now available on-demand.

Adam Malone, Director of Worldwide Solutions Engineering for Hasura and Sigfrido Narvaez, Executive Solutions Architect for MongoDB shared many key insights for developers to consider when designing AI-ready Architectures. Watch it now for a deep dive into AI-ready infrastructure followed by an equally technical question-and-answer period.

Watch it on-demand now.