Writing
From the field
Notes on the substrate the lab is building: retrieval, context, protocol servers, and what it takes to run them inside a real operation.
Filtered by tag: Storage for AI ·
Storage for AI vs Vector Databases: When to Use Which (and How They Work Together)
A storage for AI layer holds the canonical record. A vector database indexes over it. Different problems, different layers. Most systems need both.
Storage for AI Read →
Vector DBs Aren't Storage. They're Indexes.
A vector database is an index. The storage sits somewhere else, usually a Postgres table nobody talks about. The missing category is storage for AI.
Storage for AI Read →