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From the field
What we're learning building AI systems for companies that make real things.
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.
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.
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