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Vector Podcast

by Dmitry Kan

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-

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Episodes

  1. Berlin Buzzwords 2026 - Charlie Hull on role of Search in AI era

    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):...

  2. Berlin Buzzwords 2026 - Julien Nioche on Greenops and new open source project SPRUCE

    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...

  3. Berlin Buzzwords 2026 - Trey Grainger & Doug Turnbull, Role of Search in modern AI and new course

    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 (20%...

  4. Beyond Hyperspace - Ohad Levi on Hardware Accelerated Search and Agentic Memory

    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...

  5. AI Webinar - Building an AI-Ready Data Backbone

    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:...

  6. Trey Grainger - Wormhole Vectors

    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:...

  7. Economical way of serving vector search workloads with Simon Eskildsen, CEO Turbopuffer

    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:...

  8. Adding ML layer to Search: Hybrid Search Optimizer with Daniel Wrigley and Eric Pugh

    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 about...

  9. Vector Databases: The Rise, Fall and Future - by NotebookLM

    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...

  10. Code search, Copilot, LLM prompting with empathy and Artifacts with John Berryman

    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...

  11. Debunking myths of vector search and LLMs with Leo Boytsov

    00:00 Intro 01:31 Leo's story 09:59 SPLADE: single model to solve both dense and sparse? 21:06 DeepImpact 29:58 NMSLIB: what are non-metric spaces 34:21 How HNSW and NMSLIB joined forces 41:11 Why FAISS did not choose NMSLIB's algorithm 43:36 Serendipity of discovery and the creation of…

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  12. Berlin Buzzwords 2024 - Alessandro Benedetti - LLMs in Solr

    This episode on YouTube: https://www.youtube.com/watch?v=PNB70TbQUBE Alessandro's talk on Hybrid Search with Apache Solr Reciprocal Rank Fusion: https://www.youtube.com/watch?v=8x2cbT5CCEM&list=PLq-odUc2x7i8jHpa6PHGzmxfAPEz-c-on&index=5 00:00 Intro 00:50 Alessandro's take on the bbuzz'24…

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  13. Berlin Buzzwords 2024 - Sonam Pankaj - EmbedAnything

    This episode on YouTube: https://youtu.be/dVIPBxHJ1kQ 00:00 Intro 00:15 Greets for Sonam 01:02 Importance of metric learning 3:37 Sonam's background: Rasa, Qdrant 4:31 What's EmbedAnything 5:52 What a user gets 8:48 Do I need to know Rust? 10:18 Call-out to the community 10:35 Multimodality 12:32...

  14. Berlin Buzzwords 2024 - Doug Turnbull - Learning in Public

    This episode on YouTube: https://www.youtube.com/watch?v=fIPC_xzqJ0o 00:00 Intro 00:30 Greets for Doug 01:46 Apache Solr and stuff 03:08 Hello LTR project 04:42 Secret sauce of Doug's continuous blogging 08:50 SearchArray 13:22 Running complex ML experiments 17:29 Efficient search orgs 22:58...

  15. Eric Pugh - Measuring Search Quality with Quepid

    This episode on YouTube: https://www.youtube.com/watch?v=1L7UjjPz5wM 00:00 Intro 00:21 Guest Introduction: Eric Pugh 03:00 Eric's story in search and the evolution of search technology 7:27 Quepid: Improving Search Relevancy 10:08 When to use Quepid 14:53 Flash back to Apache Solr 1.4 and the…

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  16. Sid Probstein, part II - Bring AI to company data with SWIRL

    This episode on YouTube: https://www.youtube.com/watch?v=5fafSkzKpfw 00:00 Intro 01:54 Reflection on the past year in AI 08:08 Reader LLM (and RAG) 12:36 Does it need fine-tuning to a domain? 14:20 How LLMs can lie 17:32 What if data isn't perfect 21:21 SWIRL's secret sauce with Reader LLM 23:55...

  17. Louis Brandy - SQL meets Vector Search at Rockset

    This episode on YouTube: https://www.youtube.com/watch?v=TiwqVlDpsl8 00:00 Intro 00:42 Louis's background 05:39 From Facebook to Rockset 07:41 Embeddings prior to deep learning / LLM era 12:35 What's Rockset as a product 15:27 Use cases 18:04 RocksDB as part of Rockset 20:33 AI capabilities: ANN...

  18. Saurabh Rai - Growing Resume Matcher

    This episode on YouTube: https://www.youtube.com/watch?v=nx6BH9Z_gBA Topics: 00:00 Intro - how do you like our new design? 00:52 Greets 01:55 Saurabh's background 03:04 Resume Matcher: 4.5K stars, 800 community members, 1.5K forks 04:11 How did you grow the project? 05:42 Target audience and how…

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  19. Sid Probstein - Creator of SWIRL - Search in siloed data with LLMs

    Topics: 00:00 Intro 00:22 Quick demo of SWIRL on the summary transcript of this episode 01:29 Sid’s background 08:50 Enterprise vs Federated search 17:48 How vector search covers for missing folksonomy in enterprise data 26:07 Relevancy from vector search standpoint 31:58 How ChatGPT improves...

  20. Atita Arora - Search Relevance Consultant - Revolutionizing E-commerce with Vector Search

    Topics: 00:00 Intro 02:20 Atita’s path into search engineering 09:00 When it’s time to contribute to open source 12:08 Taking management role vs software development 14:36 Knowing what you like (and coming up with a Solr course) 19:16 Read the source code (and cook) 23:32 Open Bistro Innovations...

  21. Connor Shorten - Research Scientist, Weaviate - ChatGPT, LLMs, Form vs Meaning

    Topics: 00:00 Intro 01:54 Things Connor learnt in the past year that changed his perception of Vector Search 02:42 Is search becoming conversational? 05:46 Connor asks Dmitry: How Large Language Models will change Search? 08:39 Vector Search Pyramid 09:53 Large models, data, Form vs Meaning and...

  22. Evgeniya Sukhodolskaya - Data Advocate, Toloka - Data at the core of all the cool ML

    Toloka’s support for Academia: grants and educator partnerships https://toloka.ai/collaboration-with-educators-form https://toloka.ai/research-grants-form These are pages leading to them: https://toloka.ai/academy/education-partnerships https://toloka.ai/grants Topics: 00:00 Intro 01:25 Jenny’s...

  23. Yaniv Vaknin - Director of Product, Searchium - Hardware accelerated vector search

    00:00 Introduction 01:11 Yaniv’s background and intro to Searchium & GSI 04:12 Ways to consume the APU acceleration for vector search 05:39 Power consumption dimension in vector search 7:40 Place of the platform in terms of applications, use cases and developer experience 12:06 Advantages of APU...

  24. Doug Turnbull - Staff Relevance Engineer, Shopify - Search as a constant experimentation cycle

    This episode on YouTube: https://www.youtube.com/watch?v=Kpua1Euc-B8 Topics: 00:00 Intro 01:30 Doug’s story in Search 04:55 How Quepid came about 10:57 Relevance as product at Shopify: challenge, process, tools, evaluation 15:36 Search abandonment in Ecommerce 21:30 Rigor in A/B testing 23:53…

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  25. Malte Pietsch - CTO, Deepset - Passion in NLP and bridging the academia-industry gap with Haystack

    YouTube: https://www.youtube.com/watch?v=N5Brb7Rzc2c Topics: 00:00 Introduction 01:12 Malte’s background 07:58 NLP crossing paths with Search 11:20 Product discovery: early stage repetitive use cases pre-dating Haystack 16:25 Acyclic directed graph for modeling a complex search pipeline 18:22…

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  26. Max Irwin - Founder, MAX.IO - On economics of scale in embedding computation with Mighty

    00:00 Introduction 01:10 Max's deep experience in search and how he transitioned from structured data 08:28 Query-term dependence problem and Max's perception of the Vector Search field 12:46 Is vector search a solution looking for a problem? 20:16 How to move embeddings computation from GPU to…

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  27. Grant Ingersoll - Fractional CTO, Leading Search Consultant - Engineering Better Search

    YouTube: https://www.youtube.com/watch?v=r4HEpyur-OE Vector Podcast Live Topics: 00:00 Kick-off introducing co:rise study platform 03:03 Grant’s background 04:58 Principle of 3 C’s in the life of a CTO: Code, Conferences and Customers 07:16 Principle of 3 C’s in the Search Engine development:...

  28. Daniel Tunkelang - Leading Search Consultant - Leveraging ML for query and content understanding

    YouTube: https://www.youtube.com/watch?v=GyXggc4LNKI Topics: 00:00 Kick-off by Judy Zhu 01:33 Introduction by Dmitry Kan and his bio! 03:03 Daniel’s background 04:46 “Science is the difference between instinct and strategy” 07:41 Search as a personal learning experience 11:53 Why do we need…

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  29. Yusuf Sarıgöz - AI Research Engineer, Qdrant - Getting to know your data with metric learning

    YouTube: https://www.youtube.com/watch?v=AU0O_6-EY6s Topics: 00:00 Intro 01:03 Yusuf’s background 03:00 Multimodal search in tech and humans 08:53 CLIP: discovering hidden semantics 13:02 Where to start to apply metric learning in practice. AutoEncoder architecture included! 19:00 Unpacking it...

  30. Jo Bergum - Distinguished Engineer, Yahoo! Vespa - Journey of Vespa from Sparse into Neural Search

    Topics: 00:00 Introduction 01:21 Jo Kristian’s background in Search / Recommendations since 2001 in Fast Search & Transfer (FAST) 03:16 Nice words about Trondheim 04:37 Role of NTNU in supplying search talent and having roots in FAST 05:33 History of Vespa from keyword search 09:00 Architecture…

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  31. Amin Ahmad - CTO, Vectara - Algolia / Elasticsearch-like search product on neural search principles

    YouTube: https://www.youtube.com/watch?v=e2tZ6HD4I44 Update: ZIR.AI has relaunched as Vectara: https://vectara.com/ Topics: 00:00 Intro 00:54 Amin’s background at Google Research and affinity to NLP and vector search field 05:28 Main focus areas of ZIR.AI in neural search 07:26 Does the company...

  32. Yury Malkov - Staff Engineer, Twitter - Author of the most adopted ANN algorithm HNSW

    YouTube: https://www.youtube.com/watch?v=gvgD98jWrJM Topics: 00:00 Introduction 01:04 Yury’s background in laser physics, computer vision and startups 05:14 How Yury entered the field of nearest neighbor search and his impression of it 09:03 “Not all Small Worlds are Navigable” 10:10 Gentle...

  33. Joan Fontanals - Principal Engineer - Jina AI

    Topics: 00:00 Intro 00:42 Joan's background 01:46 What attracted Joan's attention in Jina as a company and product? 04:39 Main area of focus for Joan in the product 05:46 How Open Source model works for Jina? 08:38 Deeper dive into Jina.AI as a product and technology stack 11:57 Does Jina fit the...

  34. Tom Lackner - VP Engineering - Classic.com - on Qdrant, NFT, challenges and joys of ML engineering

    YouTube: https://www.youtube.com/watch?v=kVCIDTmiZyk Show notes: - The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction https://research.google/pubs/pub46555/ - IEEE MLOps Standard for Ethical AI https://docs.google.com/document/d/1x... - Qdrant…

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  35. Connor Shorten - PhD Researcher - Florida Atlantic University & Founder at Henry AI Labs

    YouTube: https://www.youtube.com/watch?v=FQAT6E3EX6g Show notes: - On the Measure of Intelligence by François Chollet - Part 1: Foundations (Paper Explained) [YouTube](https://www.youtube.com/watch?v=3_qGr...) - [2108.07258 On the Opportunities and Risks of Foundation...

  36. Filip Haltmayer (Data Engineer, Ziliz) on Milvus vector database and working with clients

    YouTube: https://www.youtube.com/watch?v=fHu8b-EzOzU Order your Milvus t-shirt / hoodie! https://milvus.typeform.com/to/IrnLAgui Thanks Filip for arranging. Show notes: - Milvus DB: https://milvus.io/ - Not All Vector Databases Are Made Equal: https://towardsdatascience.com/milvus... - Milvus…

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  37. Bob van Luijt (CEO, Semi) on the Weaviate vector search engine

    YouTube: https://www.youtube.com/watch?v=iHC5oeAN29o Show notes: 1. Layering problem: www.edge.org/conversation/sean_…-layers-of-reality 2. Podcast with Etienne Dilocker (SeMI Technologies Co-Founder & CTO): www.youtube.com/watch?v=6lkanzOqhDs 3. SOC2:...

  38. Greg Kogan - Pinecone - Vector Podcast with Dmitry Kan

    Show notes: 1. Pinecone 2.0: https://www.pinecone.io/learn/pinecon... It is GA and free: https://www.pinecone.io/learn/v2-pric... 2. Get your “Love Thy Nearest Neighbour” t-shirt :) shoot an email to [email protected] 3. Billion-Scale Approximate Nearest Neighbour Search Challenge:...

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ABOUT THIS SHOW

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-

HOSTED BY

Dmitry Kan

Frequently Asked Questions

How many episodes does Vector Podcast have?

Vector Podcast currently has 38 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is Vector Podcast about?

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 --...

How often does Vector Podcast release new episodes?

Vector Podcast has 38 episodes. Check the episode list to see recent publication dates and frequency.

Where can I listen to Vector Podcast?

You can listen to Vector Podcast on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts Vector Podcast?

Vector Podcast is created and hosted by Dmitry Kan.
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