Metadata

vecs allows you to associate key-value pairs of metadata with indexes and ids in your collections. You can then add filters to queries that reference the metadata metadata.

Types

Metadata is stored as binary JSON. As a result, allowed metadata types are drawn from JSON primitive types.

  • Boolean
  • String
  • Number

The technical limit of a metadata field associated with a vector is 1GB. In practice you should keep metadata fields as small as possible to maximize performance.

Metadata Query Language

The metadata query language is based loosely on mongodb's selectors.

vecs currently supports a subset of those operators.

Comparison Operators

Comparison operators compare a provided value with a value stored in metadata field of the vector store.

Operator Description
$eq Matches values that are equal to a specified value
$ne Matches values that are not equal to a specified value
$gt Matches values that are greater than a specified value
$gte Matches values that are greater than or equal to a specified value
$lt Matches values that are less than a specified value
$lte Matches values that are less than or equal to a specified value
$in Matches values that are contained by scalar list of specified values

Logical Operators

Logical operators compose other operators, and can be nested.

Operator Description
$and Joins query clauses with a logical AND returns all documents that match the conditions of both clauses.
$or Joins query clauses with a logical OR returns all documents that match the conditions of either clause.

Performance

For best performance, use scalar key-value pairs for metadata and prefer $eq, $and and $or filters where possible. Those variants are most consistently able to make use of indexes.

Examples

year equals 2020

{"year": {"$eq": 2020}}

year equals 2020 or gross greater than or equal to 5000.0

{
    "$or": [
        {"year": {"$eq": 2020}},
        {"gross": {"$gte": 5000.0}}
    ]
}

last_name is less than "Brown" and is_priority_customer is true

{
    "$and": [
        {"last_name": {"$lt": "Brown"}},
        {"is_priority_customer": {"$gte": 5000.00}}
    ]
}

priority contained by ["enterprise", "pro"]

{
    "priority": {"$in": ["enterprise", "pro"]}
}