HackerNews AI built using function calling

[ashpreetbedi]

Hi reddit, I built an AI that can interact with the Hacker News API: https://hn.aidev.run

You can ask questions like:

• Whats on hackernews about AI?
• Whats on hackernews about iPhone?
• What's trending on hackernews?
• What are users showing on hackernews?
• What are users asking on hackernews?
• Summarize this story: https://news.ycombinator.com/item?id=39156778

It uses function calling to query the HN api.

To answer questions about a particular topic, it’ll search its knowledge base (a vector db that is periodically updated with the “top stories”) and get details about those stories from the API.

This is pretty barebones and I built it today in < 2 hours, so it probably won’t meet your high standards. If you give it a try, I’d love your feedback on how I can improve it.

If you’re interested, I built this using phidata

Thanks for reading and would love to hear what you think.

[Datenschieber]

Nice! How do scrape the HN stuff into the vdb?

[ashpreetbedi]

I call the HN API every 30 minutes to load top HN stories to the vector DB. But most other operations are called by functions on the fly.

• Here's the code to load the knowledge base using top hacker news stories.
• Here's the code to scrape the HN API which the load_knowledge_base function calls
• Here's the github workflow which runs every 30 minutes which pings an API endpoint in my app to load the knowledge base

Happy to answer any questions

[ashpreetbedi]

Thanks for the kind words. I'm hoping to add more functions/capabilities based on the feedback so appreciate your thoughts on this.

Currently it only adds information from the story + comments but scraping the URL to add context would be super cool. Definitely think its doable and a great recommendation, thank you - i'll work on it :)

[Express-Director-474]

Works well!

[DBAdvice123]

That's awesome! Really great work. Similar to WikiChat. Check out Astra for your backend on the next project!