Vector in Databases 2026

About

Vector in Databases is a free virtual summit run by BuildDevCon as part of its DB Mastery Series 2026. The event concentrates on how vector search actually works inside database systems: embeddings, similarity search, approximate nearest neighbour indexing with HNSW and IVF, and hybrid approaches that blend vector and keyword retrieval. It is aimed at AI and ML engineers, backend developers building retrieval-augmented generation or semantic search, data engineers and architects, and technical leads weighing up vector database options. As an online-only deep dive, the summit removes travel from the equation and opens the programme to practitioners anywhere. Its scope covers production deployment with widely used engines such as pgvector, Qdrant, Weaviate and Milvus, giving the day a practical, comparative angle rather than a single-vendor pitch. The full agenda had not yet been published at the time of writing. Attendees can expect technical talks from engineers working on database and search products, with time spent on indexing trade-offs, query performance and operational concerns. For teams moving vector workloads from prototype to production, this vector database conference 2026 offers a focused, no-cost way to compare approaches and sharpen architectural decisions.