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fix: link. #3243

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Jun 11, 2024
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fix: link. #3243

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2 changes: 1 addition & 1 deletion ai/sql-interface-for-pgvector-and-timescale-vector.md
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Expand Up @@ -104,7 +104,7 @@ You can see the details of each index below.

The StreamingDiskANN index is a graph-based algorithm that was inspired by the [DiskANN](https://github.com/microsoft/DiskANN) algorithm.
You can read more about it in
[How We Made PostgreSQL as Fast as Pinecone for Vector Data](www.timescale.com/blog/how-we-made-postgresql-as-fast-as-pinecone-for-vector-data).
[How We Made PostgreSQL as Fast as Pinecone for Vector Data](https://www.timescale.com/blog/how-we-made-postgresql-as-fast-as-pinecone-for-vector-data/).


To create an index named `document_embedding_idx` on table `document_embedding` having a vector column named `embedding`, run:
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