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131 lines
2.6 KiB
Markdown
131 lines
2.6 KiB
Markdown
# Python API Reference
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This section contains the API reference for the OSS Python API.
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## Installation
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```shell
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pip install lancedb
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```
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The following methods describe the synchronous API client. There
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is also an [asynchronous API client](#connections-asynchronous).
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## Connections (Synchronous)
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::: lancedb.connect
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::: lancedb.db.DBConnection
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## Tables (Synchronous)
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::: lancedb.table.Table
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## Querying (Synchronous)
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::: lancedb.query.Query
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::: lancedb.query.LanceQueryBuilder
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::: lancedb.query.LanceVectorQueryBuilder
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::: lancedb.query.LanceFtsQueryBuilder
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::: lancedb.query.LanceHybridQueryBuilder
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## Embeddings
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::: lancedb.embeddings.registry.EmbeddingFunctionRegistry
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::: lancedb.embeddings.base.EmbeddingFunction
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::: lancedb.embeddings.base.TextEmbeddingFunction
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::: lancedb.embeddings.sentence_transformers.SentenceTransformerEmbeddings
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::: lancedb.embeddings.openai.OpenAIEmbeddings
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::: lancedb.embeddings.open_clip.OpenClipEmbeddings
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::: lancedb.embeddings.utils.with_embeddings
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## Context
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::: lancedb.context.contextualize
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::: lancedb.context.Contextualizer
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## Full text search
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::: lancedb.fts.create_index
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::: lancedb.fts.populate_index
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::: lancedb.fts.search_index
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## Utilities
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::: lancedb.schema.vector
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::: lancedb.merge.LanceMergeInsertBuilder
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## Integrations
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## Pydantic
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::: lancedb.pydantic.pydantic_to_schema
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::: lancedb.pydantic.vector
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::: lancedb.pydantic.LanceModel
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## Reranking
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::: lancedb.rerankers.linear_combination.LinearCombinationReranker
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::: lancedb.rerankers.cohere.CohereReranker
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::: lancedb.rerankers.colbert.ColbertReranker
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::: lancedb.rerankers.cross_encoder.CrossEncoderReranker
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::: lancedb.rerankers.openai.OpenaiReranker
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## Connections (Asynchronous)
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Connections represent a connection to a LanceDb database and
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can be used to create, list, or open tables.
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::: lancedb.connect_async
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::: lancedb.db.AsyncConnection
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## Tables (Asynchronous)
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Table hold your actual data as a collection of records / rows.
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::: lancedb.table.AsyncTable
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## Indices (Asynchronous)
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Indices can be created on a table to speed up queries. This section
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lists the indices that LanceDb supports.
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::: lancedb.index.BTree
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::: lancedb.index.IvfPq
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## Querying (Asynchronous)
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Queries allow you to return data from your database. Basic queries can be
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created with the [AsyncTable.query][lancedb.table.AsyncTable.query] method
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to return the entire (typically filtered) table. Vector searches return the
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rows nearest to a query vector and can be created with the
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[AsyncTable.vector_search][lancedb.table.AsyncTable.vector_search] method.
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::: lancedb.query.AsyncQueryBase
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::: lancedb.query.AsyncQuery
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::: lancedb.query.AsyncVectorQuery
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