OVER DEZE PODCAST 🔗
Vector Podcast is here to bring you the depth and breadth of Search Engine Technology, Product, Marketing, Business. In the podcast we talk with engineers, entrepreneurs, thinkers and tinkerers, who put their soul into search. Depending on your interest, you should find a matching topic for you -- whether it is deep algorithmic aspect of search engines and information retrieval field, or examples of products offering deep tech to its users. "Vector" -- because it aims to cover an emerging field of vector similarity search, giving you the ability to search content beyond text: audio, video, images and more. "Vector" also because it is all about vector in your profession, product, marketing and business.
Podcast website: https://www.vectorpodcast.com/
Dmitry is blogging on https://dmitry-kan.medium.com/
Hosts:
Frequentie bijwerken:
every 50 days
Gemiddelde audiolengte:
63 minutes
Gastinterviews
Engels
Verenigde Staten
38 afleveringen
sinds 6 december 2021
episodic
MEEST RECENTE AFLEVERING 🔗
This episode was recorded LIVE during Berlin Buzzwords 2026
Charlie's site and blog: https://thesearchjuggler.com/
LinkedIn: https://www.linkedin.com/in/charliehullsearch/
Search Relevance Slack (7000 search professionals): https://join.slack.com/t/relevancy/shared_invite/zt-42nhd2z7n-c8QAsDCYU8h…
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VORIGE AFLEVERINGEN 🔗
This is a LIVE discussion with Julien Nioche, the creator of SPRUCE, open source greenops framework. We recorded LIVE at Berlin Buzzwords 2026.
Cameraman is Zoom's AI and it goes a little crazy at times zooming on Julien and zooming back out. As usual, audio version will be available. Go to https:…
This episode was recorded LIVE at the Berlin Buzzwords 2026
YouTube version: https://youtu.be/acOGVynTVpM
The cameraman is pure Zoom's AI ;)
The Course: "AI-Powered Search: Modern Retrieval for Humans & Agents"
aipoweredsearch.com/live-course?promoCode=vector-podcast
Discount Code for course …
In this episode we sat down with Ohad Levi, co-founder and CEO of Hyperspace, to discuss the harware-accelerated search product he has built to address the search latency problem.
Ohad also shares his thoughts on Agentic memory and what keeps him at night these days.
Podcast design by https://www…
Webinar I gave with AI Camp and Aiven on AI-ready data backbone, and specifically how OpenSearch unlocks AI-powered search and log analytics: https://www.aicamp.ai/event/eventdetails/W2026032610
Blog post: https://dmitry-kan.medium.com/webinar-building-an-ai-ready-data-backbone-with-aiven-google-…
This lightning session introduces a new idea in vector search - Wormhole vectors!
It has deep roots in physics and allows for transcending spaces of any nature: sparse, vector and behaviour (but could theoretically be any N-dimensional space).
Craft decaf & half caf coffee, 25% discount: https…
Turbopuffer search engine supports such products as Cursor, Notion, Linear, Superhuman and Readwise.
Craft decaf & half caf coffee, 25% discount: https://savorista.com/discount/VECTOR
This episode on YouTube: https://youtu.be/I8Ztqajighg
Medium: https://dmitry-kan.medium.com/vector-podcast-si…
Vector Podcast website: https://vectorpodcast.com
Haystack US 2025: https://haystackconf.com/2025/
Federated search, Keyword & Neural Search, ML Optimisation, Pros and Cons of Hybrid search
It is fascinating and funny how things develop, but also turn around. In 2022-23 everyone was buzzing …
https://www.vectorpodcast.com/
I had fun interacting with NotebookLM - mostly for self-educational purposes. I think this tool can help by bringing an additional perspective over a textual content. It ties to what RAG (Retrieval Augmented Generation) can do to content generation in another modality…
Vector Podcast website: https://vectorpodcast.com
Get your copy of John's new book "Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications": https://amzn.to/4fMj2Ef
John Berryman is the founder and principal consultant of Arcturus Labs, where he speci…
Disclaimer: De podcast en de illustraties die op deze pagina zijn ingesloten, zijn afkomstig van Dmitry Kan, eigendom van de eigenaar en niet gelieerd aan of goedgekeurd door Listen Notes, Inc.
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