From b86201008dbf4655ee87524b5972d0693fa5f4e0 Mon Sep 17 00:00:00 2001 From: Jeremy Choi Date: Fri, 18 Jul 2025 11:42:21 +1000 Subject: [PATCH] minor update of the doc: faiss -> pgvector --- docs/source/providers/vector_io/remote_pgvector.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/providers/vector_io/remote_pgvector.md b/docs/source/providers/vector_io/remote_pgvector.md index 3e7d6e776..2b73774c4 100644 --- a/docs/source/providers/vector_io/remote_pgvector.md +++ b/docs/source/providers/vector_io/remote_pgvector.md @@ -17,7 +17,7 @@ That means you'll get fast and efficient vector retrieval. To use PGVector in your Llama Stack project, follow these steps: 1. Install the necessary dependencies. -2. Configure your Llama Stack project to use Faiss. +2. Configure your Llama Stack project to use pgvector. (e.g. remote::pgvector) 3. Start storing and querying vectors. ## Installation