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# OLAP for AI Applications and why you should care


- **Date:** Friday, Jul 10, 2026
- **Time:** 10:20–10:50 (30 min)
- **Room:** Stage 2
- **Event:** World Congress 2026 Europe

## Recording

[Watch recording](https://www.wearedevelopers.com/videos/100212-olap-for-ai-applications-and-why-you-should-care)

## Description

RAG applications don't just need to find documents - they need to analyze them.

To make this tangible, consider asking an AI real estate assistant: “Show me family-friendly houses under $800K in good school districts.”. What is expected on the output is property listings alongside market insights like price trends, days on market, neighborhood medians and school rating distributions – enabling the LLM to reason better and not just retrieve. For meaningful results, a clever combination of semantic search and analytical processing is needed.

In this talk we introduce a new concept of Search-OLAP: an approach where information retrieval becomes a native analytical primitive. It is the architecture where BM25, vector similarity and SQL aggregations coexist as peers in a vectorized execution engine.

Join us if you're building RAG systems, managing dual search-analytics stacks or designing applications requiring both semantic retrieval and statistical reasoning and want to learn from our mistakes and successes.

## Speaker

### [Andrey Abramov](https://www.wearedevelopers.com/@andrey-abramov)

CTO at SereneDB


## Related talks at this congress

- [Scaling GraphRAG: Efficient Knowledge Retrieval for AI](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1005-scaling-graphrag) — Gal Shubeli
- [From Vector Search to Better Understanding: How Hybrid RAG Improves Answers, Not Just Matches](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/968-from-vector-search) — David vonThenen
- [The R in RAG: Why retrieval is often the weakest link (and how to fix it)](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/976-the-r-in-rag-why) — Tomek Porożyński
- [AI Search Insights from OtterlyAI: What We Tested, What Failed, and What Actually Works](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1127-ai-search-insights) — Klaus-M. Schremser