News
- February 3, 2026: Website is now live.
Introduction
Vector databases (Vector DBs) are a foundational and critical application layer for injecting information into large language models (LLMs). Nearly all databases have added support for vector based retrieval and querying. Although various companies have proposed different vector databases, there have been very few academic workshops where these systems are discussed comprehensively. This workshop aims to foster discussions on vector databases from various perspectives, ranging from mathematical theories to implementation-level optimizations and interaction with databases. Topics covered in the workshop include retrieval-augmented generation (RAG), algorithms and data structures for approximate nearest neighbor search (ANN), interaction with databases, data management systems for handling vector data, query languages, and embedding models. Furthermore, the workshop will also function as a platform for companies and researchers working on vector databases to present technical details (white papers) and exchange ideas.
Schedule
- Location: TBD, Boston, MA, USA
- Date: TBD (Aug 31 or Sep 4), 2026
- Room: TBD
Speakers
TBD
Organizers
Program committee
TBD
Past Workshops
- The 1st Workshop on Vector Databases (VecDB@ICML2025), July 18, 2025, Vancouver, Canada