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Vector databases

A guide to the best B2B podcast coverage of Vector databases - the shows and 24 episodes that go deepest, ranked by substance, not downloads.

Vector databases are reshaping how AI systems retrieve and use information, from powering RAG (retrieval-augmented generation) implementations to enabling new search and content strategies. Episodes like "Is RAG Dead?" with Contextual AI's Douwe Kiela address the evolution of AI memory layers, while others explore practical adoption in marketing and traditional industries, showing how vector search is moving beyond experimentation into production workflows.

Best shows on Vector databases

Best episodes on Vector databases

  1. Futureproof your content ops for the coming knowledge collapse

    Content Operations · 2025-11-17

    96 / 100

    that are made to those programs in the user interfaces and the functionality? MI: And unless that content is kept up-to-date and not only the large language models, reconsume it, but the local vector databases on which a lot of chatbots and agenda workflows are being based.

  2. 183: Why Trusted Data is the New AI Moat (w/ Rick Kranz @ AI Marketing Automation Lab)

    Move The Needle · 2026-07-23

    91 / 100
  3. Is RAG Dead? The Pioneer Who Invented AI's Memory Layer Answers - with Douwe Kiela, Co-Founder, Contextual AI {ICYMI}

    Making Data Simple · 2026-07-01

    86 / 100

    I think is how can I get a model to work on my data without needing to train on that data? So, uh, obviously the old idea of rag, like what we talked about in the paper, which was Even before like vector databases were a thing and language models weren't necessarily called language models, at least in the sort of in the scientific discourse at the time.

  4. Structured Truth for Enterprise AI: Paligo

    SourceForge Podcast · 2026-05-14

    86 / 100
  5. Season 3, #13- Scaling AI with Ruthless Compassion

    The Founders Sandbox · 2025-06-24

    85 / 100
  6. Many Databases 1 LSM Engine - OpenData

    The GeekNarrator · 2026-05-01

    80 / 100
  7. What ToltIQ's co-founder - a former KKR CIO - says founders must never do when selling AI to financial services buyers | Ed Brandman

    Fintech Builders · 2026-05-22

    80 / 100
  8. Navigating Build vs. Buy Decisions in Emerging AI Technologies - ML 180

    Adventures in Machine Learning · 2024-12-26

    78 / 100
  9. Taming AI: Using AI for content conversion at scale

    Content Operations · 2026-05-18

    77 / 100
  10. 122. Timing the AI Wave with Brian Raymond | All Quiet on the Second Front Podcast

    All Quiet on the Second Front

    77 / 100

    And so from our standpoint, we built a heavy duty platform to go feed enormous amounts of data to vector databases and then nobody was moving that data.

  11. From Data Pipelines to Agentic Applications: Deploying LLM Apps That Actually Work

    What's New In Data · 2025-05-01

    77 / 100

    Some of the vector databases also have capabilities to pre-filter results in a deterministic way .

  12. EP 104 - Future Proof Your Career in 2025

    Digital Value Creation · 2024-12-09

    77 / 100

    So there are many, many techniques out there but getting familiar with figuring out how the existing models can be applied better with and there are many techniques from racks to vector databases to other other uh, tools how to apply it better for real business problems.

  13. Vector Search in the Aisles: How Morrisons Made Product Discovery Smarter

    What's New In Data · 2025-04-22

    76 / 100

    The you know , the use of , you know vector databases is really innovative and it all comes back to the fact that you've applied it in a way that really helps the customers in the business .

  14. Why Traditional Testing Fails for AI Systems - Dušanka Lečić

    Software Testing Unleashed · 2026-05-28

    75 / 100
  15. Everything Is a Graph (Even Your Dad Jokes) with Roi Lipman

    Screaming in the Cloud · 2026-03-05

    75 / 100

    Today you would also find vector databases.

  16. Re-Air: The End of Busywork: How AI Transforms Productivity at Scale with Alberto Rizzoli of V7

    The Data Stack Show · 2026-06-17

    74 / 100
  17. Runtime Confidence Meets Real-World Adoption: How AI Is Transforming Traditional Industries | The Pair Program Ep82

    The Pair Program · 2025-12-02

    71 / 100

    Um, not just from an infrastructure standup perspective where you need to start running vector databases and graph databases and system checks and different types of metrics and everything else.

  18. How Enterprise Data Architecture Must Evolve for the Age of AI

    Don't Panic! It's Just Data · 2026-06-15

    66 / 100
  19. AI Search Is Changing Marketing Forever

    Demand Revenue · 2026-06-05

    61 / 100

    Right, because you know, you can regress out LLMs and vector databases and how they work, but it doesn't necessarily tell you what to do next, which things are going to be most material.

  20. AI for Data and Data for AI: The Dual Frontier of Modern Data Engineering with Pranav Motarwar

    The Data Engineering Show · 2026-06-16

    55 / 100
  21. What I'd Do As a Junior Candidate in Mid-2026. Freestyle Fridays (June 26, 2026)

    The Joe Reis Show · 2026-06-26

    49 / 100

    Have a basic familiarity with vector databases.

  22. Production LLM Security: Real-world Strategies from Industry Leaders 🔐

    Pipeline Conversations · 2025-01-15

    45 / 100

    peaker B: Yeah, RA is like the hot topic these days, right? You hear about vector databases and all this cool new stuff, but I can definitely see how relying on external data sources could be a bit of a security nightmare.

  23. 2 Problems with Scaling Agentic AI (281)

    The Tech Strategy Podcast · 2026-04-21

    You need to ingest the data, you need to tag the data, you need to put it in the right place, you need to eventually put it embeddings, you need to put it into knowledge maps, you got vector databases, you got all that, and that's just running into the model, right?

  24. From SEO to GEO: How G2 Is Redefining Their Growth Strategy | Belkins Podcast Episode #15

    Belkins Podcast · 2025-07-21

    Obviously including the AI infrastructure, things like vector databases.