Vector Podcast

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% off): "vector-podcast" AI-Powered Search (Book, Content, Community): https://aipoweredsearch.com/...

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.linkedin.com/in/srbhr/ Timecodes: 00:00 Intro 01:35 Ohad's background 03:30 How idea was born: what wa...

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-cloud-4629f97f69bd LLM/RAG/AI Agents course: https://dmitry-kan.medium.com/course-large-language-models...

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://savorista.com/discount/VECTOR Blog post on Medium: https://dmitry-kan.medium.com/novel-idea-in-vect...

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-simon-eskildsen-turbopuffer-69e456da8df3 Dev: https://dev.to/vectorpodcast/vector-podcast-simon-eskildsen...

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 hybrid search. In 2024 the conversation shifted to RAG, RAG, RAG. And now we are in 2025 and back...

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. In this case, text is used to augment the generation of a podcast episode. This episode is based on...

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 specializes in AI application development (Agency and RAG). As an early engineer on GitHub Copilot, John co...

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 industries 47:06 Vector Search: intellectually rewarding, professionally undervalued 52:37 Why RDBMS Still Strug...

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 conference 01:25 What and value of hybrid search 04:55 Explainability of vector search results to users...

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 How to evaluate quality of LLM-based systems 16:38 QA for multimodal use cases 18:17 Place for a human...

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 Writing a book on search and AI Show notes: - Doug's talk on Learning To Rank at Reddit delivered at the Be...

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 book (of which Eric is one author) 17:49 Quepid Demo and Future Enhancements 23:57 Real-Time Query Doc Pai...

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 Feedback loop 26:14 Some surprising client perspective 31:17 How Gen AI can change communication interf...

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 index, hybrid search 25:11 Types of hybrid search 28:05 Can one learn the alpha? 30:03 Louis's predicti...

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 to use Resume Matcher 09:00 How did you attract so many contributors? 12:47 Architecture aspects 15:10...

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 programmer’s productivity 32:57 Demo! 45:23 Google PSE 53:10 Ideal user of SWIRL 57:22 Where SWIRL sits ar...

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 Lab and moving to Germany 26:04 Affinity to Search world and working as a Search Relevance Consultant 2...

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 octopus underneath the ocean 13:25 Examples of getting help from ChatGPT and how it compares to web sear...

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 path from graduating in ML to a Data Advocate role 07:50 What goes into the labeling process with Toloka...

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 Vector Search Plugins for Elasticsearch and OpenSearch compared to their own implementations 17:54...

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 Turn user intent and content meaning into tokens, not words into tokens 32:11 Use case for vector search i...

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 Early integrations with Vector Databases 20:09 Aha!-use case in Haystack 23:23 Capabilities of Haystack to...

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 CPU and retain GPU latency? 27:51 Plug-in neural model into Java? Example with a Hugging Face model 33:0...

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: Content, Collaboration and Context 11:51 Balance between manual tuning in pursuit to learn and Machine Lea...