AI & Vectors

Collections

A collection is an group of vector records. Records can be added to or updated in a collection. Collections can be queried at any time, but should be indexed for scalable query performance.

Each vector record has the form:


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Record (
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id: String
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vec: Numeric[]
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metadata: JSON
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)

For example:


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("vec1", [0.1, 0.2, 0.3], {"year": 1990})

Underneath every vecs collection is a Postgres table


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create table <collection_name> (
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id string primary key,
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vec vector(<dimension>),
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metadata jsonb
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)

where rows in the table map 1:1 with vecs vector records.

It is safe to select collection tables from outside the vecs client but issuing DDL is not recommended.