> ## Documentation Index
> Fetch the complete documentation index at: https://docs.lancedb.com/llms.txt
> Use this file to discover all available pages before exploring further.

# NER-powered vector search

> Extract named entities and embed them to sharpen retrieval.

Uses Named Entity Recognition to power vector search. Extracting entities
(people, places, organizations) and embedding them alongside the text improves
accuracy when queries are about specific things rather than general topics.

> [!NOTE]
>
> This example is a runnable notebook in the
> [vectordb-recipes](https://github.com/lancedb/vectordb-recipes) repository rather than a page here.

> [card] [Open in Colab](https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/tutorials/NER-powered-Semantic-Search/NER_powered_Semantic_Search_with_LanceDB.ipynb)
>
> Run it end to end in the browser.

> [card] [View on GitHub](https://github.com/lancedb/vectordb-recipes/tree/main/tutorials/NER-powered-Semantic-Search)
>
> Read the source.


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