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World Congress 2026 Europe • Jul 10, 2026 • Session details

OLAP for AI Applications and why you should care

Andrey Abramov

Modern AI agents require more than simple document retrieval. Search-OLAP natively unifies semantic search with rigid SQL aggregations. Empower your LLMs to reason across billions of rows instantly.

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#1 about 6 min

How AI agents execute reasoning chains for complex queries

The transition from human analysts to AI agents generating dozens of interrelated queries to find relevant data.

#2 about 3 min

Architectural challenges of AI-driven data queries

Why limited LLM context windows and scattered, siloed data prevent effective precomputation or caching for agentic workflows.

#3 about 2 min

Introducing SearchOLAP for native analytical processing

Processing data where it lives by integrating search primitives into an analytical database architecture instead of duplicating it.

#4 about 4 min

Core architecture and federated execution of SearchOLAP

How columnar storage, zone map indices, and remote row navigation combine to support distributed, scalable query processing securely.

#5 about 3 min

Handling latency and synchronization for remote data sources

Strategies for managing network latency and keeping external databases or lakehouses in sync using CDC tools and snapshots.

#6 about 3 min

Benchmarking SearchOLAP against existing database engines

Analyzing insertion speed, disk size, and query latency using the open-source SearchBench framework on large-scale telemetry data.

#7 about 4 min

Live demo predicting chess moves across billions of rows

A real-time demonstration scanning three billion chess moves and evaluating them simultaneously with k-nearest neighbors and an evaluation engine.

#8 about 5 min

Q&A on analytical databases and market convergence

A discussion comparing SearchOLAP to other compute engines and how major database providers are converging transactional and analytical workloads.

Matching moments

3:29 min

Practical use cases for unified transactional and analytical databases

Oleksandra Bovkun Oleksandra Bovkun · Europe 2026 Virtual

2:05 min

Designing highly scalable hybrid AI search engines

Jan Schweiger · World Congress 2022

1:03 min

Revolutionizing database search queries with language models

Calvin Seward Calvin Seward · Europe 2026 Virtual

1:27 min

Implementing semantic RAG with fallback for complex queries

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:08 min

Scaling semantic search with Astra DB and Apache Cassandra

David Leconte David Leconte +1 · World Congress 2024

1:11 min

Core principles for robust AI search systems

Dmytro Kurets Dmytro Kurets · Europe 2026 Virtual

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