3 docs tagged with "vector-database"

System internals of vector databases: indexing high-dimensional embeddings, coordinating metadata payloads, and managing CRUD lifecycles.

System architecture for multimodal search: mapping images and text into a shared vector space using CLIP, SigLIP, and Redis vector indexing.

Architectural review of vector engines: in-memory vs disk, graph traversal, and real-time indexing guarantees.