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Because Lance is built on top of Apache Arrow, LanceDB fits naturally into Pandas-first workflows. You can ingest a DataFrame, query it with LanceDB’s vector operators, and keep working in Pandas without any glue code.

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Create a dataset

Start by importing LanceDB alongside your usual Pandas utilities and connect to a temporary database. Use the familiar pd.DataFrame API to prepare your rows, then pass the entire frame to db.create_table. Queries can return Pandas frames as well, so you can immediately inspect the results or pipe them into downstream analytics.

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Async API

For web services or background jobs that already rely on asyncio, use the asynchronous helpers to keep everything non-blocking.