The first workshop dedicated to late interaction and multi-vector retrieval methods at ECIR 2026, featuring keynote speaker Omar Khattab (ColBERT creator) and focusing on advances in token-level representations, multi-modal retrieval, and long-context search.

Comprehensive overview of vector database evolution in 2026, including the shift to vectors as data types, PostgreSQL dominance, 400% adoption surge, and $10.6B projected market by 2032.

Comprehensive benchmark dataset comparing 10 vector databases across 19 fields including query latency (p50/p99), throughput, scalability limits, features like hybrid search and ACID compliance, SDK support, and managed pricing. Tested with 1M vectors at 1536 dimensions for RAG and AI search applications. Key highlights include Qdrant for lowest latency, Pinecone for managed scalability, and pgvector for ACID transactions.

Research paper proposing a decoupled storage architecture for vector databases that improves update speed by 10.05x for insertions and 6.89x for deletions through innovative design.