How to Build an Auto-Updating Knowledge Base for AI Agents Using Real Data

How to Build an Auto-Updating Knowledge Base for AI Agents Using Real Data

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I built a real-time NBA stats agent using DigitalOcean’s Gradient AI. Watch it answer “Who’s leading the league right now in {insert stat}?” by pulling fresh data daily straight from nba.com/stats.

In this video, we’ll go over:

– making a Knowledge Base and how to add the NBA stats URL to it
– setting up automatic daily reindexing
– attaching it to an agent
– giving the agent a certain personality
– using the built-in chat widget for the frontend
– deploying everything to DigitalOcean App Platform

You’ll see how easy it is to build an agent that stays up-to-date without you doing any extra work!

TIMESTAMPS:
0:00 – Intro + demo + what we are building
0:48 – Overview of DigitalOcean’s Gradient AI Platform
0:01:45 – Create a Knowledge Base and Defining Data Sources
0:04:24 – Schedule Automated Data Indexing
0:05:30 – Create the Agent and Setting Persona Instructions
0:07:05 – Test the Agent in the Gradient AI Playground
0:08:05 – Develop the Frontend and Express Server
0:11:04 – Deploy to DigitalOcean App Platform
0:12:40 – Demo and Conclusion

Go Warriors!

Get the agent code from GitHub:
https://github.com/elizabethsiegle/nba-chat-knowledgebase-youtube-video

Join the Developer Cloud:
https://cloud.digitalocean.com/registrations/new?utm_source=youtube&utm_medium=organic_video&utm_campaign=digitalocean&utm_content=52fqZqbjucw

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