Dmitry Kan

Vector Podcast

Science EN ↓ Odcinki: 36

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, ima...

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Autor

Dmitry Kan

Kategoria

Science

Strona podcastu

dmitry-kan.medium.com

Ostatni odcinek

21 cze 2026

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Odcinki

Daniel Tunkelang - Leading Search Consultant - Leveraging ML for query and content understanding 23.05.2022 1:02:31

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 Machine Learning in Search, or can we use manually curated features? 16:47 Swimming up-stream from relevancy...

Yusuf Sarıgöz - AI Research Engineer, Qdrant - Getting to know your data with metric learning 07.05.2022 1:09:59

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 further: what is metric learning and the difference with deep metric learning? 28:50 How Deep Learning al...

Jo Bergum - Distinguished Engineer, Yahoo! Vespa - Journey of Vespa from Sparse into Neural Search 12.04.2022 1:26:36

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 of Vespa and programming language choice: C++ (content layer), Java (HTTP requests and search plugin...

Amin Ahmad - CTO, Vectara - Algolia / Elasticsearch-like search product on neural search principles 16.02.2022 1:11:05

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 offer neural network training to clients? Other support provided with ranking and document format conver...

Yury Malkov - Staff Engineer, Twitter - Author of the most adopted ANN algorithm HNSW 31.01.2022 1:30:09

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 introduction into the theory of Small World Navigable Graphs and related concepts 13:55 Further clarificatio...

Joan Fontanals - Principal Engineer - Jina AI 19.01.2022 56:46

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 use cases of smaller / mid-size players with smaller amount of data? 13:45 KNN/ANN algorithms availab...

Tom Lackner - VP Engineering - Classic.com - on Qdrant, NFT, challenges and joys of ML engineering 23.12.2021 47:25

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: https://qdrant.tech/ - Elixir connector for Qdrant by Tom: https://github.com/tlack/exqdr - Other 6 vector databases: htt...

Connor Shorten - PhD Researcher - Florida Atlantic University & Founder at Henry AI Labs 23.12.2021 59:04

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 Models]( https://arxiv.org/abs/2108.07258 ) - [2005.11401 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks]( http...

Filip Haltmayer (Data Engineer, Ziliz) on Milvus vector database and working with clients 23.12.2021 1:12:36

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 talk at Haystack: https://www.youtube.com/watch?v=MLSMs... - BEIR: A Heterogenous Benchmark for Zero-shot...

Bob van Luijt (CEO, Semi) on the Weaviate vector search engine 23.12.2021 1:30:30

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: linfordco.com/blog/soc-1-vs-soc-2-audit-reports/ 4. Dmitry's post on 7 Vector Databases: towardsdatascience.com/milvus-pineco…-9c65a3bd0696 5....

Greg Kogan - Pinecone - Vector Podcast with Dmitry Kan 06.12.2021 43:58

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 greg@pinecone.io 3. Billion-Scale Approximate Nearest Neighbour Search Challenge: https://big-ann-benchmarks.com/index.... 4. ANNOY: https://github.com/spotify/annoy 5. FAISS: https://github.com/face...