- Conference
- Haystack Database
- Dates
- Sep 27, 2022
- Venue
- TUECHTIG
- Place
- Berlin, Germany
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- archive.haystackconf.com
- Recorded
- 0 sponsors · 10 speaker appearances
- Notes
- One-day, single-track event at TUECHTIG, Oudenarder Straße 16, 13347 Berlin; tickets via Plain Schwarz's pretix (prices not captured). Speakers: full list from the archived schedule and talk pages.
Ticket prices
No ticket prices recorded
Sponsors 0
No sponsors recorded
Speakers and talks 10
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Dmitry Kan | — | Keynote | Keynote - Where Vector Search is taking us | SlidesVideo |
| Aline Paponaud | Adelean | Speaker | A practical approach to measuring the relevance and preventing regressions | SlidesVideo |
| Atita Arora | — | Speaker | Women of Search | SlidesVideo |
| Eric Rongen | Kramp Hub | Speaker | Increasing relevant product recall through smart use of customer behavioral data | SlidesVideo |
| James Briggs | Pinecone | Speaker | Fine-tuning for Vector Search | SlidesVideo |
| Jelmer Krauwer | Kramp Hub | Speaker | Increasing relevant product recall through smart use of customer behavioral data | SlidesVideo |
| Kacper Łukawski | Qdrant | Speaker | Lowering the entry threshold for Neural Vector Search by applying Similarity Learning | SlidesVideo |
| Laurin Luttman | OTTO | Speaker | An unbiased Neural Ranking Model for Product Search | SlidesVideo |
| Roman Grebennikov | — | Speaker | Building an open-source online Learn-to-rank engine | SlidesVideo |
| Roudy Khoury | Adelean | Speaker | A practical approach to measuring the relevance and preventing regressions | SlidesVideo |