---
title: Subscribe to Vespa Voice
description: Engineers, customers and industry analysts talk through what it really takes to build AI-powered search and recommendation, from RAG and agents to ranking, relevance and performance at scale.
image: https://content.vespa.ai/hubfs/RGP/vespa-voice-reg/assets/og.jpg
---

![Vespa.ai](https://content.vespa.ai/hubfs/RGP/vespa-voice-reg/img/VespaAI-logo-white-RGB.svg)

---

# Subscribe to Vespa Voice

The podcast for builders and innovators in AI-powered search and recommendation.

![Vespa Voice](https://content.vespa.ai/hs-fs/hubfs/RGP/vespa-voice-reg/img/vespa-voice-logo.png?width=883&height=377&name=vespa-voice-logo.png)

## Thanks for subscribing to Vespa Voice.

[Listen on Spotify](https://open.spotify.com/episode/2slgxaLHSl5H0VrSf4lhhV) [Watch latest episode](https://vespa.ai/vespa-voice/#relevance-is-your-moat)

[Listen on Spotify](https://open.spotify.com/episode/2slgxaLHSl5H0VrSf4lhhV) [Watch latest episode](https://vespa.ai/vespa-voice/#relevance-is-your-moat)

## Vespa Voice: Conversations on AI Search

Engineers, customers and industry analysts talk through what it really takes to build AI-powered search and recommendation, from RAG and agents to ranking, relevance and performance at scale.

Twenty-minute conversations with the people building AI search in production.

### Season 2

- [Season 2: Episode 1Relevance is Your MoatVespa CEO and cofounder Jon Bratseth](https://vespa.ai/vespa-voice/#relevance-is-your-moat)

### Season 1

Seven conversations on how search is changing for generative AI: vector databases, RAG, vision-language models and real-world migrations, with voices from GigaOm, Vinted, Searchplex and more.

- [Season 1: Episode 7How Hidden Search Problems Derail Great ProductsRavindra Harige, founder of Searchplex](https://vespa.ai/vespa-voice/#season-one)
- [Season 1: Episode 6From Pilots to Precision: RAG and Search in Life SciencesHarini Gopalakrishnan, former Global CTO of Life Sciences at Snowflake and now at Vespa](https://vespa.ai/vespa-voice/#s1e6-rag-and-search-in-life-sciences)
- [Season 1: Episode 5GigaOm's CXO Brief: Search Reimagined for AI WorkloadsWhit Walters, Field CTO at GigaOm](https://vespa.ai/vespa-voice/#s1e5-gigaoms-cxo-brief-search-reimagined-for-ai-workloads)
- [Season 1: Episode 4Beyond Chat: The Hidden Use Cases Driving the GenAI RevolutionKamran Khan, CEO of Pureinsights](https://vespa.ai/vespa-voice/#s1e4-beyond-chat-hidden-use-cases-driving-genai)
- [Season 1: Episode 3From Minutes to Milliseconds: Vinted's Migration to VespaErnestas Poškus, Engineering Manager at Vinted](https://vespa.ai/vespa-voice/#s1e3-from-minutes-to-milliseconds-vinteds-migration-to-vespa)
- [Season 1: Episode 2The Future of RAG: Search, Vision Language Models, and Agentic WorkflowsBonnie Chase sits down with Jo Kristian Bergum](https://vespa.ai/vespa-voice/#s1e2-future-of-rag-search-vision-language-models-and-agentic-workflows)
- [Season 1: Episode 1The Rise of Vector DatabasesWhit Walters, Field CTO at GigaOm](https://vespa.ai/vespa-voice/#s1e1-the-rise-of-vector-databases-gigaoms-sonar-report)

© Vespa.ai [Vespa.ai](https://vespa.ai/) [LinkedIn](https://www.linkedin.com/company/vespa-ai/) [X](https://x.com/vespaengine)

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