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Trey Grainger - Wormhole Vectors

Trey Grainger - Wormhole Vectors


Season 4 Episode 2


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…


Published on 10 hours ago

Economical way of serving vector search workloads with Simon Eskildsen, CEO Turbopuffer

Economical way of serving vector search workloads with Simon Eskildsen, CEO Turbopuffer


Season 4 Episode 1


Turbopuffer search engine supports such products as Cursor, Notion, Linear, Superhuman and Readwise.

This episode on YouTube: https://youtu.be/I8Ztqajighg

Medium: https://dmitry-kan.medium.com/vector-p…


Published on 1 month, 2 weeks ago

Adding ML layer to Search: Hybrid Search Optimizer with Daniel Wrigley and Eric Pugh

Adding ML layer to Search: Hybrid Search Optimizer with Daniel Wrigley and Eric Pugh


Season 3 Episode 11


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 fascin…


Published on 7 months, 2 weeks ago

Vector Databases: The Rise, Fall and Future - by NotebookLM

Vector Databases: The Rise, Fall and Future - by NotebookLM


Season 3 Episode 10


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…


Published on 8 months ago

Code search, Copilot, LLM prompting with empathy and Artifacts with John Berryman

Code search, Copilot, LLM prompting with empathy and Artifacts with John Berryman


Season 3 Episode 9


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.…


Published on 8 months, 4 weeks ago

Debunking myths of vector search and LLMs with Leo Boytsov

Debunking myths of vector search and LLMs with Leo Boytsov


Season 3 Episode 8


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 di…


Published on 9 months, 3 weeks ago

Berlin Buzzwords 2024 - Alessandro Benedetti - LLMs in Solr

Berlin Buzzwords 2024 - Alessandro Benedetti - LLMs in Solr


Season 3 Episode 7


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 ta…


Published on 1 year ago

Berlin Buzzwords 2024 - Sonam Pankaj - EmbedAnything

Berlin Buzzwords 2024 - Sonam Pankaj - EmbedAnything


Season 3 Episode 6


Video: 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 nee…


Published on 1 year, 1 month ago

Berlin Buzzwords 2024 - Doug Turnbull - Learning in Public

Berlin Buzzwords 2024 - Doug Turnbull - Learning in Public


Season 3 Episode 5


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 …


Published on 1 year, 3 months ago

Eric Pugh - Measuring Search Quality with Quepid

Eric Pugh - Measuring Search Quality with Quepid


Season 3 Episode 4


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 Apa…


Published on 1 year, 4 months ago





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