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Brendan Clement
2026-10-09 09:11:55 -07:00
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docs/web/indexing/vector-index.mdx
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@@ -303,7 +303,7 @@ A deployment does this in the background, and `optimize()` is not available ther
</Info>
#### Check Index Status
On a deployment, vector index creation runs in the background and may take some time to complete.
On a deployment, vector index creation runs in the background and may take some time to complete.
While it is ongoing, you can check its status through the API or the **LanceDB Enterprise UI**.
In the LanceDB Enterprise UI, navigate to your table page - the "Index" column reflects each column's index status: it is blank when no index exists, shows an "in progress" label while the index is being built, and shows the index type once the build completes.
docs/web/search/hybrid-search.mdx
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@@ -352,7 +352,7 @@ The choice gets baked into both sub-queries, so the vector and FTS halves see th
## More on Reranking {#more-on-reranking}
You can perform hybrid search in LanceDB by combining the results of semantic and full-text search via a reranking algorithm of your choice. LanceDB comes with [**built-in rerankers**](https://docs.lancedb.com/reranking) and you can implement your own **custom reranker** as well. Reranking and score normalization run in your application, whether the table is local or on a deployment.
You can perform hybrid search in LanceDB by combining the results of semantic and full-text search via a reranking algorithm of your choice. LanceDB comes with [**built-in rerankers**](https://docs.lancedb.com/reranking) and you can implement your own **custom reranker** as well. Reranking and score normalization run in your application, whether the table is local or on a deployment.
By default, LanceDB uses `RRFReranker()`, which uses reciprocal rank fusion score, to combine and rerank the results of semantic and full-text search. You can customize the hyperparameters as needed or write your own custom reranker. Here's how you can use any of the available rerankers: