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Future of Search

Spring 2026
Thursday 11 June 2026 | 09:00–17:00
W3.hub · Möckernstraße 120, 10963 Berlin

Talks and hands-on workshops on vector search, AI, and the next generation of retrieval.

Free for Search Engineers, PMs, and Search Enthusiasts €200 value

Thursday 11 June 2026

Networking  ·  09:00 – 09:30

Morning Talks

09:30 10:30
Keynote
Multi-Vector Representation, Late Interaction, and Semantic Knowledge Graphs
Trey Grainger
A keynote exploring the search architectures and representation techniques shaping the next generation of retrieval.
10:45 11:30
Relevance
WORLD PREMIERE: Facets for E-Commerce in Vector Search
Piotr Kobziakowski
Philippe Bouzaglou
Piotr from Vespa.ai will show how users can refine their search with user-defined facets thanks to the Vespa Tensor Framework, bringing facets to vector search for the first time. Philippe will explain how an embedding model with deep pre-trained knowledge in few dimensions benefits e-commerce applications.
11:30 12:30
Vector Search
TurboQuant x Qdrant
Chadha Sridi
An introduction to TurboQuant and how Qdrant is pushing vector search performance forward with fast, memory-efficient quantization for scalable deployments.
12:30 12:45
Advanced
Rerankers, Cross Encoders, and Re-Ranking Techniques
Roman Dusek
A preview of the afternoon advanced track on precision improvements after retrieval.
Lunch  ·  12:45 – 13:30

Afternoon Workshops & Roundtables

13:30 17:00
13:00 – 17:00
Experiment With Qdrant & Multimodal RAG
Qdrant DevRel Team
Hands-on Qdrant experimentation (13:00–14:30), then move to a second location for Listening to the World with Multimodal RAG: build a multimodal search system for live audio clips, transcripts, and news (15:00–17:00).
E-commerce Relevance Track
13:30 – 17:00
What Works and What Doesn't in E-Commerce Vector Search
Philippe Bouzaglou & Piotr Kobziakowski
A full afternoon deep dive into practical e-commerce vector search, covering proven strategies, common pitfalls, production lessons, and peer exchange with fellow practitioners.
Getting Started Track
13:30 – 17:00
AI-Search Modalities: Combining Lexical, Vector, Sparse, Dense, and Hybrid Approaches
Trey Grainger
A comprehensive tutorial covering all the key search modalities and how to combine them effectively.
Advanced Track
14:00 – 16:00
Rerankers: Cross Encoders and Re-Ranking Techniques
Roman Dusek
An advanced, hands-on session on precision improvements after initial retrieval using cross-encoders and sophisticated re-ranking strategies.
AI-Powered Search book cover by Trey Grainger

All tutorial participants will get a chance to win a signed copy of the AI-Powered Search book by Trey Grainger.

Evening Meetup
18:00 – 21:00  ·  Max-Urich-Str. 3, 13355 Berlin
Qdrant Vector Space Meetup: Retrieval in the Age of Agents

An evening of conversations about the new role for retrieval inside AI agents. As agent frameworks reshape how we build with LLMs, retrieval is evolving from a fixed pipeline step into a dynamic capability the agent decides to invoke — choosing when to search, what to look for, and which tool fits the job. Join leading builders from across the ecosystem for a panel exploring what retrieval means when agents are in the loop.

Featuring an opening keynote by Andrey Vasnetsov (CTO, Qdrant), a community-driven panel, and networking over drinks and pizza.

Panelists from

  • Qdrant
  • Cognee
  • deepset
  • LlamaIndex
  • n8n
Presented by Qdrant
Venue
W3.hub · Möckernstraße 120, 10963 Berlin, Germany
Date
Thursday 11 June 2026
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Gold Sponsors

Qdrant
Vectra Multimodal Embeddings
Vespa.ai