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Standardize on 'filterable' instead of 'filtrable'

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Abdon Pijpelink
2026-01-15 16:11:53 +01:00
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qdrant-landing/content/articles/what-is-a-vector-database.md
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@@ -184,7 +184,7 @@ In Qdrant, indexing is modular. You can configure indexes for **both vectors and
<img src="/articles_data/what-is-a-vector-database/hnsw-search.png" alt="Searching Data with the HNSW algorithm" width="300">
You need to build the payload index for **each field** you'd like to search. The magic here is in the combination: HNSW finds similar vectors, and the payload index makes sure only the ones that fit your criteria come through. Learn more about Qdrant's [Filtrable HNSW](https://qdrant.tech/articles/filtrable-hnsw/) and why it was built like this.
You need to build the payload index for **each field** you'd like to search. The magic here is in the combination: HNSW finds similar vectors, and the payload index makes sure only the ones that fit your criteria come through. Learn more about Qdrant's [Filterable HNSW](https://qdrant.tech/articles/filterable-hnsw/) and why it was built like this.
> Combining [full-text search](https://qdrant.tech/documentation/concepts/indexing/#full-text-index) with vector-based search gives you even more versatility. You can simultaneously search for conceptually similar documents while ensuring specific keywords are present, all within the same query.