Berlin Buzzwords 2026 - Charlie Hull on role of Search in AI era
This episode was recorded LIVE during Berlin Buzzwords 2026
Every Vector Podcast conversation, newest first — in-depth discussions with the engineers, founders and researchers building the future of search. Episodes play on YouTube.
This episode was recorded LIVE during Berlin Buzzwords 2026
This is a LIVE discussion with Julien Nioche, the creator of SPRUCE, open source greenops framework. We recorded LIVE at Berlin Buzzwords 2026.
This episode was recorded LIVE at the Berlin Buzzwords 2026
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.
Webinar I gave with AI Camp and Aiven on AI-ready data backbone, and specifically how OpenSearch unlocks AI-powered search and log analytics
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).
Turbopuffer search engine supports such products as Cursor, Notion, Linear, Superhuman and Readwise.
Vector Podcast website: https://vectorpodcast.com
https://www.vectorpodcast.com/
Vector Podcast website: https://vectorpodcast.com
Vector Podcast website: https://vectorpodcast.com Dmitry's recent blog on vector database industry: https://dmitry-kan.medium.com/the-rise-fall-and-future-of-vector-databases-how-to-pick-the-one-that-lasts-6b9fbb43bbbe
Course page: https://studies.helsinki.fi/courses/course-implementation/hy-opt-cur-2425-12ceef6e-ec52-4d28-a267-06c9f2149328/LDA-T312 Course GitHub: https://github.com/Helsinki-NLP/LLM-course-2024
Course page: https://studies.helsinki.fi/courses/course-implementation/hy-opt-cur-2425-12ceef6e-ec52-4d28-a267-06c9f2149328/LDA-T312 GitHub repo: https://github.com/Helsinki-NLP/LLM-course-2024
Course page: https://studies.helsinki.fi/courses/course-implementation/hy-opt-cur-2425-12ceef6e-ec52-4d28-a267-06c9f2149328/LDA-T312 GitHub repo: https://github.com/Helsinki-NLP/LLM-course-2024
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 00:15 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…
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
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…
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…
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…
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…
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…
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…
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,…
Toloka's support for Academia: grants and educator partnerships
Topics: 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…
You will find links to Spotify, Apple Podcasts and pure RSS here: https://dmitry-kan.medium.com/search-as-a-constant-experimentation-cycle-ae399ac1dda6
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…
This is a LIVE session from Berlin Buzzwords 2022 with:
Topics: 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…