Latest Content

https://youtube.com/embed/m8D0iBo0UK4
This episode was recorded LIVE during Berlin Buzzwords 2026

Charlie’s site and blog: https://thesearchjuggler.com/
LinkedIn: https://www.linkedin.com/in/charliehullsearch/

Charlie’s panel at bbuzz, featuring yours truly among a group of distinguished search and ML people: https://www.youtube.com/watch?v=StaPk0k-52Y

Time codes
00:00 Intro
00:42 Charlie’s take on this year’s Berlin Buzzwords
01:55 Based on the panel: Charlie’s first encounter of AI
04:55 Is preserving search still a question?
5:48 Charlie’s “old” search technique to improve quality of search
7:58 Explainability gap
9:03 Did LLMs change Charlie’s life
12:07 Query Understanding is still a complex topic
13:14 Vector search or not
17:28 Meetups and places to learn with Charlie
19:25 Charlie’s message to the search makers
23:00 What is fundamentally missing in our space
26:03 Where to follow Charlie’s work

Show notes:
– Upcoming Vespa conference: http://www.vespaai.live/
– Where find Charlie? On meetups: http://www.searchmeetups.com/
– http://www.thesearchjuggler.com/
– https://searchmeetups.com/
– A neat trick for protecting numbers when using fuzzy search: https://www.youtube.com/watch?v=s34afYwYqyM

https://youtube.com/embed/acOGVynTVpM
This episode was recorded LIVE at the Berlin Buzzwords 2026

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): aipoweredsearch.com

Timecodes
00:00 Intro
00:30 Doug’s and Trey’s impression of the conference
01:16 How modern AI changed search (if any)
05:48 How to bring AI techniques into existing search engines on a budget
10:44 What the AI-Powered Search course includes
18:02 Staying hands-on
18:47 Guest’s favourite topic that keeps them up at night
27:40 Message to the builders of search tech
32:55 Search continues to be challenging and exciting

Shownotes:
– Upcoming course in detail (grab promo code above to save 20%): https://aipoweredsearch.com/articles/the-frontier-of-ai-search-ai-powered-search-modern-retrieval-for-humans-agents/
– Doug’s blog on search, agents, RAG, LLM as a judge and more: https://softwaredoug.com/
– AI-Powered Search: https://aipoweredsearch.com/
– Berlin Buzzwords:
– MICES: https://mices.co/
– Future of Search conference: https://berlinsearchweek.com/future-of-search/
– Women of Search: https://www.women-of-search.org/
– “AI is here – time to throw away our search engines?” panel hosted by Charlie Hull at Berlin Buzzwords 2026: https://www.youtube.com/watch?v=StaPk0k-52Y
– Dmitry’s prototype of Wormhole vectors idea with OpenSearch: https://aiven.io/blog/beyond-hybrid-search-traversing-vector-spaces-with-wormhole-vectors
– Dmitry’s blog on Medium: https://dmitry-kan.medium.com/
– Dmitry’s Tech Stories on Substack: https://substack.com/@dmitrykan

https://youtube.com/embed/QHcKla6lybY
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 was missing in the search landscape
06:52 Top 3 issues with existing search solutions
10:52 The importance of search latency
13:41 Ohad’s solution for latency
19:22 Was Hyperspace up for the challenge?
22:12 New approaches to handling massive scale
26:12 Does latency matter for new agentic AI?
32:12 Agentic AI vs SaaS
35:03 Ohad’s learnings from Hyperspace
38:37 Friction points for the hardware-accelerated search
42:40 Product-led growth way
47:43 What keeps Ohad excited about the AI / search field
51:43 Ohad’s message to the Search community

Shownotes:
Ohad Levi on LinkedIn: https://www.linkedin.com/in/ohad-levi/
Hyperspace: https://www.hyper-space.io/
Dmitry’s blog on Medium: https://dmitry-kan.medium.com/
Dmitry on LinkedIn: https://www.linkedin.com/in/dmitrykan/

https://youtube.com/embed/kSrr8AMreGY
Webinar I gave with AI Camp and Aiven on AI-ready data backbone, and specifically how OpenSearch unlocks AI-powered search and log analytics

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-and-generative-ai-for-nlp-2025-98e31780de30

Free tier OpenSearch: https://aiven.io/free-opensearch
Dev tier OpenSearch (Free tier VM + more disk + integrations): https://aiven.io/developer-tier-opensearch

Time codes:
1:01 Dima’s intro + Vector Podcast
4:56 About Aiven
7:06 Why best? – Question from the audience
10:22 Free Tier OpenSearch!
11:57 Aiven’s unifed platform
12:58 OpenSearch: What and Why
17:00 Why OpenSearch is AI-Ready?
18:26 What Aiven’s OpenSearch gives you
20:44 Lexical vs semantic search
22:51 Technical use cases of OpenSearch
24:17 Reference Architecture with Kafka as event processor, and OpenSearch as storage and search layer
25:37 Aiven’s case studies for OpenSearch
26:27 When to choose OpenSearch?
28:21 Demo of OpenSearch query UI
32:12 Is there any advantage in using Qdrant over OpenSearch? – Question from the audience
34:30 What is the vector lenght (in this demo)? – Question from the audience
36:27 What are the main advantages of Aiven’s OpenSearch compared to Elasticsearch? – Question from the audience
32:11 Demo of Search Relevancy Workbench: visual way of searching

Show notes:
– User Behaviour Insights: https://www.ubisearch.dev/
– Webinar’s demo code part 1: Episode download / transcribe / index: https://github.com/dimakan-dev/conduit-transcripts/blob/main/DATA_PROCESSING_GUIDE.md
– Webinar’s demo code part 2: Main UI and quality dashboards: https://github.com/dimakan-dev/preparing-data-for-opensearch-and-rag/blob/main/workshop/STREAMLIT_README.md