Files
lancedb/docs/src/python/python.md
Pratik Dey 7b1c063848 feat(python): add type-safe expression builder API (#3150)
Introduces col(), lit(), func(), and Expr class as alternatives to raw
SQL strings in .where() and .select(). Expressions are backed by
DataFusion's Expr AST and serialized to SQL for remote table compat.

Resolves: 
- https://github.com/lancedb/lancedb/issues/3044 (python api's)
- https://github.com/lancedb/lancedb/issues/3043 (support for filter)
- https://github.com/lancedb/lancedb/issues/3045 (support for
projection)

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-31 11:32:49 -07:00

4.0 KiB

Python API Reference

This section contains the API reference for the Python API of LanceDB. Both synchronous and asynchronous APIs are available.

The general flow of using the API is:

  1. Use [lancedb.connect][] or [lancedb.connect_async][] to connect to a database.
  2. Use the returned [lancedb.DBConnection][] or [lancedb.AsyncConnection][] to create or open tables.
  3. Use the returned [lancedb.table.Table][] or [lancedb.AsyncTable][] to query or modify tables.

Installation

pip install lancedb

The following methods describe the synchronous API client. There is also an asynchronous API client.

Connections (Synchronous)

::: lancedb.connect

::: lancedb.db.DBConnection

Tables (Synchronous)

::: lancedb.table.Table

::: lancedb.table.FragmentStatistics

::: lancedb.table.FragmentSummaryStats

::: lancedb.table.Tags

Expressions

Type-safe expression builder for filters and projections. Use these instead of raw SQL strings with [where][lancedb.query.LanceQueryBuilder.where] and [select][lancedb.query.LanceQueryBuilder.select].

::: lancedb.expr.Expr

::: lancedb.expr.col

::: lancedb.expr.lit

::: lancedb.expr.func

Querying (Synchronous)

::: lancedb.query.Query

::: lancedb.query.LanceQueryBuilder

::: lancedb.query.LanceVectorQueryBuilder

::: lancedb.query.LanceFtsQueryBuilder

::: lancedb.query.LanceHybridQueryBuilder

Embeddings

::: lancedb.embeddings.registry.EmbeddingFunctionRegistry

::: lancedb.embeddings.base.EmbeddingFunctionConfig

::: lancedb.embeddings.base.EmbeddingFunction

::: lancedb.embeddings.base.TextEmbeddingFunction

::: lancedb.embeddings.sentence_transformers.SentenceTransformerEmbeddings

::: lancedb.embeddings.openai.OpenAIEmbeddings

::: lancedb.embeddings.open_clip.OpenClipEmbeddings

Remote configuration

::: lancedb.remote.ClientConfig

::: lancedb.remote.TimeoutConfig

::: lancedb.remote.RetryConfig

Context

::: lancedb.context.contextualize

::: lancedb.context.Contextualizer

::: lancedb.fts.create_index

::: lancedb.fts.populate_index

::: lancedb.fts.search_index

Utilities

::: lancedb.schema.vector

::: lancedb.merge.LanceMergeInsertBuilder

Integrations

Pydantic

::: lancedb.pydantic.pydantic_to_schema

::: lancedb.pydantic.vector

::: lancedb.pydantic.LanceModel

Reranking

::: lancedb.rerankers.linear_combination.LinearCombinationReranker

::: lancedb.rerankers.cohere.CohereReranker

::: lancedb.rerankers.colbert.ColbertReranker

::: lancedb.rerankers.cross_encoder.CrossEncoderReranker

::: lancedb.rerankers.openai.OpenaiReranker

Connections (Asynchronous)

Connections represent a connection to a LanceDb database and can be used to create, list, or open tables.

::: lancedb.connect_async

::: lancedb.db.AsyncConnection

Tables (Asynchronous)

Table hold your actual data as a collection of records / rows.

::: lancedb.table.AsyncTable

::: lancedb.table.AsyncTags

Indices (Asynchronous)

Indices can be created on a table to speed up queries. This section lists the indices that LanceDb supports.

::: lancedb.index.BTree

::: lancedb.index.Bitmap

::: lancedb.index.LabelList

::: lancedb.index.FTS

::: lancedb.index.IvfPq

::: lancedb.index.HnswPq

::: lancedb.index.HnswSq

::: lancedb.index.IvfFlat

::: lancedb.table.IndexStatistics

Querying (Asynchronous)

Queries allow you to return data from your database. Basic queries can be created with the [AsyncTable.query][lancedb.table.AsyncTable.query] method to return the entire (typically filtered) table. Vector searches return the rows nearest to a query vector and can be created with the [AsyncTable.vector_search][lancedb.table.AsyncTable.vector_search] method.

::: lancedb.query.AsyncQuery options: inherited_members: true

::: lancedb.query.AsyncVectorQuery options: inherited_members: true

::: lancedb.query.AsyncFTSQuery options: inherited_members: true

::: lancedb.query.AsyncHybridQuery options: inherited_members: true