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30: Building AiKA: Spotify’s AI Knowledge Assistant

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Manage episode 500247228 series 3419329
Content provided by Spotify R&D and Spotify R. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Spotify R&D and Spotify R or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Hear about the journey behind building Spotify’s AI knowledge assistant, aka AiKA — from hack projects to internal chatbot, to enterprise developer tool.

While general purpose chatbots are being used everywhere, they often fall short when it comes to navigating company-specific information — like which internal policy applies to your team or where to find the doc someone shared in Slack three months ago. That’s why we built AiKA. Using retrieval-augmented generation (RAG), AiKA taps into Spotify’s internal knowledge sources to provide employees with context-aware answers right when they need them.

Host and principal engineer Dave Zolotusky is joined by senior engineers Majd Salman and Jofre Mateu to discuss AiKA’s evolution from a bunch of hack week experiments to a unified chatbot platform now used weekly by 25% of Spotify’s employees and 87% of our developers. They share why RAG is the right approach for making an internal chatbot accurate and fast, how AiKA has cut the time it takes to resolve internal support requests by 47%, and how we’re extending AiKA’s agentic capabilities with MCP.

🤖 Want to see how AiKA can supercharge knowledge sharing where you work? Sign up to try Spotify Portal for Backstage at: https://backstage.spotify.com/try-portal/

Learn more about Spotify’s AI knowledge assistant:

Read what else we’re nerding out about on the Spotify Engineering Blog: ⁠engineering.atspotify.com⁠

You should follow us on Twitter ⁠@SpotifyEng⁠, ⁠LinkedIn⁠, and ⁠YouTube⁠!

  continue reading

33 episodes

Artwork
iconShare
 
Manage episode 500247228 series 3419329
Content provided by Spotify R&D and Spotify R. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Spotify R&D and Spotify R or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Hear about the journey behind building Spotify’s AI knowledge assistant, aka AiKA — from hack projects to internal chatbot, to enterprise developer tool.

While general purpose chatbots are being used everywhere, they often fall short when it comes to navigating company-specific information — like which internal policy applies to your team or where to find the doc someone shared in Slack three months ago. That’s why we built AiKA. Using retrieval-augmented generation (RAG), AiKA taps into Spotify’s internal knowledge sources to provide employees with context-aware answers right when they need them.

Host and principal engineer Dave Zolotusky is joined by senior engineers Majd Salman and Jofre Mateu to discuss AiKA’s evolution from a bunch of hack week experiments to a unified chatbot platform now used weekly by 25% of Spotify’s employees and 87% of our developers. They share why RAG is the right approach for making an internal chatbot accurate and fast, how AiKA has cut the time it takes to resolve internal support requests by 47%, and how we’re extending AiKA’s agentic capabilities with MCP.

🤖 Want to see how AiKA can supercharge knowledge sharing where you work? Sign up to try Spotify Portal for Backstage at: https://backstage.spotify.com/try-portal/

Learn more about Spotify’s AI knowledge assistant:

Read what else we’re nerding out about on the Spotify Engineering Blog: ⁠engineering.atspotify.com⁠

You should follow us on Twitter ⁠@SpotifyEng⁠, ⁠LinkedIn⁠, and ⁠YouTube⁠!

  continue reading

33 episodes

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