Dev Day: Data Access for your AI
To make AI experiences truly impactful – intelligent, accurate, and effective – we need to combine large language models (LLM) with our own data. But building intelligent data access for LLMs poses significant challenges.
At Hasura, our AI lab has been working on solving these hard problems so you can build AI applications that your users can trust. Join us for the Hasura Dev Day to dive into our latest launch for an exclusive CEO keynote on AI, deep dives into how this compares to existing methods of building AI on your data and demos of AI assistants we’ve built across our org.
If you’re building agents and assistants and trying out RAG, tool calling, text-to-SQL and other approaches - you wouldn’t want to miss this!
CEO Keynote with Tanmai Gopal: Introducing PromptQL
Demo 1: Efficient Customer Support with AI
We built an intelligent Customer Support Assistant that worked alongside our support team to get work done more efficiently. See how our solution helped:
- Increase productivity
- Find answers and close tickets faster
- Provide insights into the team’s performance
- Eliminate repetitive questioning
- Unify customer data for a comprehensive view
- Leverage product usage data and telemetry for proactive support
Demo 2: Faster Data-Driven Engineering Management with AI
We’ll showcase the data assistant we built internally for our Engineering Managers which allowed us to simplify issue tracking, team insights, and project health monitoring. See how we were able to:
- Categorize and prioritize Github Issues efficiently
- Get instant summaries of incoming issues
- Track issue history from commit to latest PR
- Analyze team performance and issue resolution
Product Updates
- Engine Plugin Framework
- Filter Nested Arrays capability with Mongo
- Prometheus Connector
