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# Welcome to LanceDB's Documentation
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LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrevial, filtering and management of embeddings.
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The key features of LanceDB include:
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* Production-scale vector search with no servers to manage.
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* Combine attribute-based information with vectors and store them as a single source-of-truth.
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* Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure.
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* Ecosystem integrations: Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
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LanceDB's core is written in Rust 🦀 and is built using Lance, an open-source columnar format designed for performant ML workloads.
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## Documentation Quick Links
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* `Quick start` - search and filter a hello world vector dataset with LanceDB using the Python SDK.
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* [`API Reference`](python.md) - detailed documentation for the LanceDB Python SDK.
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# LanceDB Python API Reference
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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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::: lancedb
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::: lancedb.db
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::: lancedb.table
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::: lancedb.query
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