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Python API Reference
This section contains the API reference for the Python API. There is a synchronous and an asynchronous API client.
The general flow of using the API is:
- Use [lancedb.connect][] or [lancedb.connect_async][] to connect to a database.
- Use the returned [lancedb.DBConnection][] or [lancedb.AsyncConnection][] to create or open tables.
- 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
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.EmbeddingFunction
::: lancedb.embeddings.base.TextEmbeddingFunction
::: lancedb.embeddings.sentence_transformers.SentenceTransformerEmbeddings
::: lancedb.embeddings.openai.OpenAIEmbeddings
::: lancedb.embeddings.open_clip.OpenClipEmbeddings
::: lancedb.embeddings.utils.with_embeddings
Context
::: lancedb.context.contextualize
::: lancedb.context.Contextualizer
Full text search
::: 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
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.IvfPq
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.AsyncQueryBase
::: lancedb.query.AsyncQuery
::: lancedb.query.AsyncVectorQuery