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Scaling Vector Search in Distributed Databases: The YDB Journey

Proposal status is Rejected
Session Description

This presentation will explore the evolution of YDB, a distributed database, as it developed vector search capabilities. We'll discuss our journey from implementing a basic exact search to creating a global index system, designed to scale seamlessly across thousands of nodes and efficiently store and manage billions of vectors.

Key Takeaways
  • Understand the stages of developing vector search capabilities in a distributed database, from initial implementations to sophisticated search indices.

  • Gain insights into the technical challenges encountered in scaling vector search across thousands of nodes and what solutions were employed to overcome these barriers.

  • Learn about the innovative indexing techniques used to support efficient and effective vector search, capable of handling billions of data points.

  • Discover strategies and methods used to optimize the performance of vector search in distributed database environments.

References

Session Categories

FOSS

Speakers

Alexander Zevaykin
Alexander Zevaykin Team Leader | YDB

Alexander Zevaykin, PhD in Technical Science, Team Leader at YDB.
Working in the development of databases, presents many technical challenges that are fascinating to solve. One such challenge is implementing vector search on large volumes of data.