Matt Yi

As Tech VP at VeloDB and an Apache Doris PMC Member, Matt Yi brings over 10 years of expertise in database kernel R&D and technical management. He has spearheaded multiple major version iterations of Apache Doris, driving significant performance breakthroughs across diverse analytical scenarios. As a core driver of the community, Matt has witnessed and propelled the evolution of Apache Doris from a technical project into one of the most active and influential open-source communities in the global big data and database landscape.

All Sessions by Matt Yi

Day 1 | HALL 2 - Practical Insights and Best Practices
12:05

How Apache Doris Powers AI Agents with Hybrid Search and Real-Time Analytics

12:05 - 12:25

This talk will introduce hybrid search with Apache Doris as a next-generation retrieval solution for generative AI and context engineering. Addressing the semantic confusion problem by combining vector search, full-text search, and SQL to capture the exact-match intent with semantic similarity, resulting in a more accurate and cost-effective solution. Matt will then touch on how the native real-time capability that Apache Doris brings to OLAP can be extended to real-time RAG, helping organizations think about future challenges in this space.

Matt Yi

All Sessions by Matt Yi

Day 1 | HALL 2 - Practical Insights and Best Practices

How Apache Doris Powers AI Agents with Hybrid Search and Real-Time Analytics

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