Struct Query 

pub struct Query { /* private fields */ }

A builder for LanceDB queries.

See crate::Table::query for more details on queries

See QueryBase for methods that can be used to parameterize the query.

See ExecutableQuery for methods that can be used to execute the query and retrieve results.

This query object can be reused to issue the same query multiple times.

Implementations

impl Query

pub fn nearest_to(self, vector: impl IntoQueryVector) -> Result<VectorQuery>

Find the nearest vectors to the given query vector.

This converts the query from a plain query to a vector query.

This method will attempt to convert the input to the query vector expected by the embedding model. If the input cannot be converted then an error will be returned.

By default, there is no embedding model, and the input should be vector/slice of floats.

If there is only one vector column (a column whose data type is a fixed size list of floats) then the column does not need to be specified. If there is more than one vector column you must use [Query::column] to specify which column you would like to compare with.

If no index has been created on the vector column then a vector query will perform a distance comparison between the query vector and every vector in the database and then sort the results. This is sometimes called a “flat search”

For small databases, with a few hundred thousand vectors or less, this can be reasonably fast. In larger databases you should create a vector index on the column. If there is a vector index then an “approximate” nearest neighbor search (frequently called an ANN search) will be performed. This search is much faster, but the results will be approximate.

The query can be further parameterized using the returned builder. There are various search parameters that will let you fine tune your recall accuracy vs search latency.

Arguments

• vector - The vector that will be used for search.

pub fn into_request(self) -> QueryRequest

pub fn current_request(&self) -> &QueryRequest

Trait Implementations

impl Clone for Query

fn clone(&self) -> Query

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Query

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl ExecutableQuery for Query

async fn create_plan( &self, options: QueryExecutionOptions, ) -> Result<Arc<dyn ExecutionPlan>>

Return the Datafusion ExecutionPlan.

async fn execute_with_options( &self, options: QueryExecutionOptions, ) -> Result<SendableRecordBatchStream>

Execute the query and return results

async fn explain_plan(&self, verbose: bool) -> Result<String>

Explain the plan for a query

async fn analyze_plan_with_options( &self, options: QueryExecutionOptions, ) -> Result<String>

Execute the query and display the runtime metrics

fn execute( &self, ) -> impl Future<Output = Result<SendableRecordBatchStream>> + Send

Execute the query with default options and return results

fn analyze_plan(&self) -> impl Future<Output = Result<String>> + Send

Execute the query and display the runtime metrics

fn output_schema(&self) -> impl Future<Output = Result<SchemaRef>> + Send

Return the output schema for data returned by the query without actually executing the query

impl HasQuery for Query

fn mut_query(&mut self) -> &mut QueryRequest