Past Talks

Browse the collection of talks from previous Haystack conferences

Welcome to Haystack!

Charlie Hull Haystack US 2024

All Vector Search is Hybrid Search

John Solitario Haystack US 2024

Search and Retrieval- AI’s Most Successful Hack

Apoorva Joshi Haystack US 2024

Learning to Rank at Reddit : A Project Retro

Doug Turnbull and Chris Fournier and Cliff Chen Haystack US 2024

Your Search Engine Needs a Memory!

Eric Pugh and Stavros Macrakis Haystack US 2024

Expanding RAG to incorporate multimodal capabilities.

Praveen Mohan Prasad and Hajer Bouafif Haystack US 2024

Measuring and Improving the R in RAG

Scott Stults Haystack US 2024

Exploring dense vector search at scale

Tom Burgmans and Mohit Sidana Haystack US 2024


René Kriegler Haystack EU 2023

Women of Search

Atita Arora and Istvan Simon and Paige Tyrrell Haystack EU 2023

Search Engines: Combining Inverted and ANN Indexes for Scale

Anubhav Bindlish Haystack EU 2023

Navigating Neural Search: Avoiding Common Pitfalls

Jo Kristian Bergum Haystack EU 2023

Better Semantic Search with Hybrid (Sparse-Dense) Search

Roie Schwaber-Cohen Haystack US 2023

Talking to Non-Searchers about Search Relevance

David Tippett and Stavros Macrakis Haystack US 2023

Creating Representative Query Sets for Offline Evaluation

Karel Bergmann Haystack US 2023

Enterprise Search Relevance at Box: Simplicity

Jay Franck Haystack US 2023

Dive into NLP with the Elastic Stack

Lucian Precup and Pietro Mele Haystack US 2023

Elasticsearch: What if your database was a search engine?

Benjamin Dauvissat Haystack US 2023

Vector Search for Clinical Decisions

Erica Lesyshyn and Max Irwin Haystack US 2023

Top 8 search topics to teach your team members

Jettro Coenradie Haystack US 2023

Selecting the RIGHT Measures for Your Search Product

Tito Sierra Haystack US 2023

Keynote - Where Vector Search is taking us

Dmitry Kan Haystack EU 2022

Fine-tuning for Vector Search

James Briggs Haystack EU 2022

Building an open-source online Learn-to-rank engine

Roman Grebennikov Haystack EU 2022

A practical approach to measuring the relevance and preventing regressions

Aline Paponaud and Roudy Khoury Haystack EU 2022

Women of Search

Atita Arora Haystack EU 2022

Increasing relevant product recall through smart use of customer behavioral data

Eric Rongen and Jelmer Krauwer Haystack EU 2022

An unbiased Neural Ranking Model for Product Search

Laurin Luttman Haystack EU 2022

Opening Keynote - Magicians & Jugglers: Closed & Open

Charlie Hull Haystack US 2022

AI Driven Search

Bojan Babic Haystack US 2022

Beyond precision and recall – ensuring 'aboutness' in topical classification using confidence scores

Mark Shewhart and Sophie Lagace and Kimberly Hoffbauer Haystack US 2022

Scalable Semantic Search for Online Learning Applications

Kazem Jahanbakhsh Haystack US 2022

Bayesian Optimization of Relevance at Shopify

Doug Turnbull and Andy Toulis Haystack US 2022

Building Retrieval Test Collections

Ellen Voorhees Haystack US 2022

OpenSearch - Ecommerce Search & Discovery Platform- Powered by querqy

Anirudha Jadhav and Pratik Shenoy and Dr. Johannes Peter Haystack US 2022

Opening Keynote

Peter Morville Haystack 2021

The web search bootstrapping problem

Roi Krakovski Haystack 2021

The Text REtrieval Conference (TREC)

Ellen Voorhees Haystack 2021

Learning to Boost - Logistic Regression to Optimize Elasticsearch Boosts

Nina Xu and Jenna Bellassai Haystack 2021

OLX's Journey to a Relevant Search

Leonardo Wajnsztok Haystack 2021

Closing Keynote

Marcus Eagan Haystack 2021

Search Relevance Organizational Maturity Model

Eric Pugh Haystack LIVE! 2020

An Exploration of Search Visualization Strategies

Dan Worley Haystack LIVE! 2020

The Search Engine Migration Circus

Max Irwin Haystack LIVE! 2020

Context sensitive autocomplete suggestions using LSTM and Pair-wise learning

Dileep Kumar Patchigolla Haystack LIVE! 2020

How to Build your Training Set for a Learning to Rank Project

Alessandro Benedetti Haystack LIVE! 2020

Semantic Search Ecosystem

Erica Lesyshyn Haystack/MICES/Berlin Buzzwords 2020

Click logs and insights - Putting the search experts in your audience to work

Peter Dixon-Moses Haystack/MICES/Berlin Buzzwords 2020

Top 10 Lessons learned in search projects the past 10 years

Jettro Coenradie Haystack/MICES/Berlin Buzzwords 2020

Evolving Relevance

Tim Allison Haystack/MICES/Berlin Buzzwords 2020

Thought Vectors, Knowledge Graphs, and Curious Death(?) of Keyword Search

Trey Grainger Haystack/MICES/Berlin Buzzwords 2020

Haystack Europe 2019 Keynote

Bertrand Rigaldies Haystack EU 2019

Balancing the Dimensions of User Intent

Trey Grainger Haystack EU 2019

Query Intelligence: Understanding User Intent

Erica Lesyshyn Haystack EU 2019

Relevant Facets

Lucian Precup Haystack EU 2019

Ranking article comments using reinforcement learning

Lester Solbakken Haystack EU 2019

Autocomplete as Relevancy

Rimple Shah Haystack 2019

Custom Solr Query Parser Design Option, and Pros & Cons

Bertrand Rigaldies Haystack 2019

Embracing Diversity: Searching over Multiple Languages

Suneel Marthi & Jeff Zemerick Haystack 2018

How The New York Times Tackles Relevance

Jeremiah Via Haystack 2019

Making the case for human judgement relevance testing

Tara Diedrichsen and Tito Sierra Haystack 2019

Natural Language Search with Knowledge Graphs

Trey Grainger Haystack 2019

Ontology and Oncology: NLP for Precision Medicine

Sean Mullane Haystack 2019

Search-based recommendations at Politico

Ryan Kohl Haystack 2019

Search with Vectors

Simon Hughes Haystack 2019

Solving for Satisfaction: Introduction to Click Models

Elizabeth Haubert Haystack 2019

What is Search Relevance?

Max Irwin Haystack 2019


Doug Turnbull Haystack EU 2018

Getting started with search tuning and search relevance

Karen Renshaw Haystack EU 2018

A visual approach to search strategy formulation

Tony Russell-Rose Haystack EU 2018

Learning Learning To Rank

Torsten Köster, Fabian Klenk & René Kriegler Haystack EU 2018

Learning to Rank in an Hourly Job Marketplace

Xun Wang Haystack EU 2018

Search quality evaluation: tools and techniques

Torsten Köster & Fabian Klenk & René Kriegler Haystack EU 2018

Visualizing search results

Sebastian Russ Haystack EU 2018

A Vespa Tour

Matt Overstreet Haystack 2018

Catch My Drift? - Building bridges with Word Embeddings

Peter Dixon-Moses Haystack 2018

Evolving a Medical Image Similarity Search

Sujit Pal Haystack 2018

From clicks to models, the Wikimedia LTR pipeline

Erik Bernhardson Haystack 2018

Interleaving: from evaluation to self learning

John T. Kane Haystack 2018

Real-Time Entity Resolution with Elasticsearch

Dave Moore Haystack 2018

Search Quality: A Business-Friendly Perspective

Peter Fries Haystack 2018

The keystone (Keynote)

Doug Turnbull Haystack 2018

The Relevance of Solr's Semantic Knowledge Graph

Trey Grainger Haystack 2018