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VQL

VQL is an acronym used in several software domains to denote query languages. There is no single standardized language called VQL, and the exact syntax and semantics depend on the project. In practice, VQL can refer to more than one distinct tool or specification that shares the same abbreviation.

Vector Query Language refers to a class of query languages designed for vector databases and similarity search

Visual Query Language describes a family of UI-driven query languages used in data visualization and business

Overall, VQL serves as an umbrella term for multiple, unrelated query-language projects. When encountering the acronym,

in
machine
learning
contexts.
It
emphasizes
operations
on
high-dimensional
vectors,
including
similarity
metrics,
distance
computations,
and
nearest-neighbor
retrieval.
Typical
features
include
projection
of
fields,
filtering,
and
ranking
results
by
vector
similarity,
often
with
support
for
K-nearest
neighbors
and
index-based
acceleration.
Implementations
vary
in
syntax
and
integration
with
storage
backends.
intelligence
tools.
Rather
than
writing
code,
users
build
queries
through
graphical
elements
such
as
fields,
filters,
and
joins.
VQL-based
tools
aim
to
simplify
data
exploration,
but
can
differ
in
expressiveness
and
performance,
sometimes
requiring
translation
to
a
backend
query
language
such
as
SQL.
it
is
important
to
consult
project
documentation
to
determine
which
variant
is
being
referenced
and
what
features
are
supported.