From c7211e03e9a915eecb0dc32b38b89c62532d66a9 Mon Sep 17 00:00:00 2001 From: ccurme Date: Tue, 4 Mar 2025 14:05:56 -0500 Subject: [PATCH] docs: fix typo (#3677) https://platform.openai.com/docs/guides/embeddings#embedding-models --- docs/docs/cloud/deployment/semantic_search.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/docs/cloud/deployment/semantic_search.md b/docs/docs/cloud/deployment/semantic_search.md index c9dc58633..fb2101925 100644 --- a/docs/docs/cloud/deployment/semantic_search.md +++ b/docs/docs/cloud/deployment/semantic_search.md @@ -17,7 +17,7 @@ This guide explains how to add semantic search to your LangGraph deployment's cr ... "store": { "index": { - "embed": "openai:text-embeddings-3-small", + "embed": "openai:text-embedding-3-small", "dims": 1536, "fields": ["$"] } @@ -27,7 +27,7 @@ This guide explains how to add semantic search to your LangGraph deployment's cr This configuration: -- Uses OpenAI's text-embeddings-3-small model for generating embeddings +- Uses OpenAI's text-embedding-3-small model for generating embeddings - Sets the embedding dimension to 1536 (matching the model's output) - Indexes all fields in your stored data (`["$"]` means index everything, or specify specific fields like `["text", "metadata.title"]`)