From b5a6ecc331f14046a77a00f86b0dbfa6376ee0a5 Mon Sep 17 00:00:00 2001 From: Jeremy Bonghwan Choi Date: Tue, 22 Jul 2025 15:10:35 +1000 Subject: [PATCH] docs: minor fix of the pgvector provider spec description (#2847) # What does this PR do? minor update of the pgvector doc, changing 'faiss' to 'pgvector' ## Test Plan --- docs/source/providers/vector_io/remote_pgvector.md | 2 +- llama_stack/providers/registry/vector_io.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/providers/vector_io/remote_pgvector.md b/docs/source/providers/vector_io/remote_pgvector.md index 3e7d6e776..74f588a13 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 diff --git a/llama_stack/providers/registry/vector_io.py b/llama_stack/providers/registry/vector_io.py index c13e65bbc..e391341b4 100644 --- a/llama_stack/providers/registry/vector_io.py +++ b/llama_stack/providers/registry/vector_io.py @@ -395,7 +395,7 @@ 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