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Author: Vector Podcast

Trey Grainger – Wormhole Vectors

Trey Grainger – Wormhole Vectors

This lightning session introduces a new idea in vector search – Wormhole vectors! It has deep…

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

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

Turbopuffer search engine supports such products as Cursor, Notion, Linear, Superhuman and Readwise. If you are…

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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

Vector Podcast website: https://vectorpodcast.com Haystack US 2025: https://haystackconf.com/2025/ Federated search, Keyword & Neural Search, ML Optimisation,…

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

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

https://www.vectorpodcast.com/ I had fun interacting with NotebookLM – mostly for self-educational purposes. I think that tools…

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Code search, Copilot, LLM prompting with empathy and Artifacts – John Berryman, ex-GitHub Copilot

Code search, Copilot, LLM prompting with empathy and Artifacts – John Berryman, ex-GitHub Copilot

Vector Podcast website: https://vectorpodcast.com Get your copy of John’s new book “Prompt Engineering for LLMs: The…

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Debunking myths of vector search and LLMs with Leo Boytsov, Senior Research Scientist, AWS

Debunking myths of vector search and LLMs with Leo Boytsov, Senior Research Scientist, AWS

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 00:00 Intro 01:31 Leo’s…

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LLM Course recap: LLM Evaluation (Jussi Karlgren) and RAG, Use Cases, Applications (Dmitry Kan)

LLM Course recap: LLM Evaluation (Jussi Karlgren) and RAG, Use Cases, Applications (Dmitry Kan)

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 Aarne Talman’s part on LLM intro, prompting and fine-tuning did…

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Week 6: Use cases and applications of LLMs | Course: Large Language Models and Generative AI for NLP

Week 6: Use cases and applications of LLMs | Course: Large Language Models and Generative AI for NLP

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 00:00 Ways to improve RAG (leftover slide from Week-5) 07:18…

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Week 5: RAG | Course: Large Language Models and Generative AI for NLP

Week 5: RAG | Course: Large Language Models and Generative AI for NLP

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 Note: first 4 minutes don’t have an audio, because I…

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Berlin Buzzwords 2024 – Alessandro Benedetti – LLMs in Solr

Berlin Buzzwords 2024 – Alessandro Benedetti – LLMs in Solr

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 Blog post about this…

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