From befcd2b5ef6435d38b71a7de85e55baa4d119252 Mon Sep 17 00:00:00 2001
From: Roo Code <chris@roocode.com>
Date: Mon, 14 Jul 2025 07:30:06 +0000
Subject: [PATCH] fix: add manutic/nomic-embed-code model for Ollama
 compatibility

- Add manutic/nomic-embed-code to Ollama and OpenAI Compatible embedding model profiles
- Provides same configuration as nomic-embed-code (3584 dimensions, 0.15 score threshold, code search query prefix)
- Resolves issue where users cannot use nomic-embed-code with Ollama since only community version exists
- Enables flexible embedding model selection for code indexing with Ollama

Fixes #5687
---
 src/shared/embeddingModels.ts | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/src/shared/embeddingModels.ts b/src/shared/embeddingModels.ts
index 4c6bc24319..53433c1435 100644
--- a/src/shared/embeddingModels.ts
+++ b/src/shared/embeddingModels.ts
@@ -31,6 +31,11 @@ export const EMBEDDING_MODEL_PROFILES: EmbeddingModelProfiles = {
 			scoreThreshold: 0.15,
 			queryPrefix: "Represent this query for searching relevant code: ",
 		},
+		"manutic/nomic-embed-code": {
+			dimension: 3584,
+			scoreThreshold: 0.15,
+			queryPrefix: "Represent this query for searching relevant code: ",
+		},
 		"mxbai-embed-large": { dimension: 1024, scoreThreshold: 0.4 },
 		"all-minilm": { dimension: 384, scoreThreshold: 0.4 },
 		// Add default Ollama model if applicable, e.g.: