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Dmitry Kan
Dmitry Kan

449 Followers

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Neural Search Frameworks: A Head-to-Head Comparison

While working on this blog post I had a privilege of interacting with all neural search frameworks key developers / leadership: Malte Piestch (Haystack), Amin Ahmad (Vectara), Florian Hönicke (Jina AI), David Mezzetti (txtai), Daniel Vassilev (Relevance AI), George Sivulka and Swetha Revanur (Hebbia), Aarne Talman and myself (Muves). The…

Neural Search Framework

11 min read

Neural Search Frameworks: A Head-to-Head Comparison
Neural Search Frameworks: A Head-to-Head Comparison
Neural Search Framework

11 min read


Published in Towards Data Science

·Pinned

Not All Vector Databases Are Made Equal

A detailed comparison of Milvus, Pinecone, Vespa, Weaviate, Vald, GSI and Qdrant — While working on this blog post I had a privilege of interacting with all search engine key developers / leadership: Bob van Luijt and Etienne Dilocker (Weaviate), Greg Kogan (Pinecone), Pat Lasserre, George Williams (GSI Technologies Inc), Filip Haltmayer (Milvus), Jo Kristian Bergum (Vespa), Kiichiro Yukawa (Vald) and Andre Zayarni…

Vector Search Engine

7 min read

Not All Vector Databases Are Made Equal
Not All Vector Databases Are Made Equal
Vector Search Engine

7 min read


Mar 8

Vector Podcast episode with Connor Shorten

Connor is one of the top professionals in the Vector Search field I know for two years now. He has a background in Academia working on deep learning, which is a definite unfair advantage when it comes to the core of this field. He is not only able to recommend…

Vector Podcast

2 min read

Vector Podcast episode with Connor Shorten
Vector Podcast episode with Connor Shorten
Vector Podcast

2 min read


Feb 5

Data at the core of all the cool ML

We often talk about neural networks, vector search, MLOps, search scalability and cost. But one topic that deserves more attention is where this journey begins: data. 🎙 In this episode (recorded right before Christmas) with Evgeniya Sukhodolskaya (Jenny), Data Advocate at Toloka, you’ll dive into the topic of data labeling…

Vector Podcast

2 min read

Data at the core of all the cool ML
Data at the core of all the cool ML
Vector Podcast

2 min read


Oct 19, 2022

Where Vector Search is Taking Us: Keynote at Haystack EU conference

Around two weeks ago I had a big honor to deliver the keynote at the Haystack EU conference held in Berlin, Germany. In it, I’ve shared some of my learnings from interviewing Vector Search makers in the Vector Podcast. Worth sharing them here: Malte Pietsch (CTO Deepset, Haystack): Metric blindness …

Haystackconf

3 min read

Where Vector Search is Taking Us: Keynote at Haystack EU conference
Where Vector Search is Taking Us: Keynote at Haystack EU conference
Haystackconf

3 min read


Oct 1, 2022

Search as a constant experimentation cycle

Vector Podcast episode with Doug Turnbull, Staff Relevance Engineer, Shopify New episode of Vector Podcast, Season 2! I’ve had an immense pleasure to talk to a mogul in Search world, original creator of Quepid (Search Quality Assurance and Toolbox I recommend to all my clients), Splainer, Learning to Rank plugin for Elasticsearch and an educational GitHub repo hello-ltr, author of…

Vector Podcast

3 min read

Search as a constant experimentation cycle
Search as a constant experimentation cycle
Vector Podcast

3 min read


Sep 13, 2022

Haystack: Finding passion in NLP

Vector Podcast episode with Malte Pietsch, CTO at Deepset Big language models are a new trend that is about to launch and influence NLP and search engines. NLP with advances in Deep Learning is getting behind fascinating use cases, like question answering in healthcare and finance. Haystack platform enables you to create flexible search pipelines, starting with document conversions (say, pdf to text), extracting metadata useful for search & filter later, proceeding to semantic indexing and similarity matching. You can combine sparse retrieval with dense search, all this being agnostic to a particular vector DB or NLP model.

Vector Podcast

1 min read

Haystack: Finding passion in NLP
Haystack: Finding passion in NLP
Vector Podcast

1 min read


Aug 25, 2022

Players in Vector Search: Video

In July I got an invitation from the Sease team to present at the London IR Meetup, where I spoke about players, algorithms, software and use cases in Vector Search. In this presentation I’ve used the opportunity to give an update on the first season of Vector Podcast: it…

Vector Search

1 min read

Players in Vector Search: Video
Players in Vector Search: Video
Vector Search

1 min read


Aug 8, 2022

How to Choose a Vector Database

Last week Thursday I spoke at Pinecone’s workshop by invitation of Greg Kogan, VP Marketing, Pinecone — one of the 7 vector databases described in my blog. The main topic was around how to choose a vector database, but we also discussed what is vector search, its use cases, aspects…

Live Workshops

2 min read

How to Choose a Vector Database
How to Choose a Vector Database
Live Workshops

2 min read


Jul 22, 2022

Live from Berlin Buzzwords 2022: Vector Podcast with developers from Weaviate, Jina AI and Apache Solr

This year Berlin Buzzwords conference has reopened to offline participants for the first time after pandemic started. The conference has adopted the hybrid mode, with all talks streaming online as well. These were 2 active days full of technical talks in 3 main trains: Search, Store and Scale. I also…

Vector Podcast

1 min read

Live from Berlin Buzzwords 2022: Vector Podcast with developers from Weaviate, Jina AI and Apache…
Live from Berlin Buzzwords 2022: Vector Podcast with developers from Weaviate, Jina AI and Apache…
Vector Podcast

1 min read

Dmitry Kan

Dmitry Kan

449 Followers

Founder and host of Vector Podcast, tech team lead, software engineer, manager, but also: cat lover and cyclist. Host: https://www.youtube.com/c/VectorPodcast

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