mirror of
https://github.com/lancedb/lancedb.git
synced 2025-12-25 14:29:56 +00:00
b2317c904d
* Expose `bitmap` and `LabelList` scalar index type via Rust and Async Python API * Add documents
135 lines
2.7 KiB
Markdown
135 lines
2.7 KiB
Markdown
# Python API Reference
|
|
|
|
This section contains the API reference for the OSS Python API.
|
|
|
|
## Installation
|
|
|
|
```shell
|
|
pip install lancedb
|
|
```
|
|
|
|
The following methods describe the synchronous API client. There
|
|
is also an [asynchronous API client](#connections-asynchronous).
|
|
|
|
## 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
|