diff --git a/src/services/code-index/__tests__/service-factory.spec.ts b/src/services/code-index/__tests__/service-factory.spec.ts
index 1d8f7ba478..5ae12b4e57 100644
--- a/src/services/code-index/__tests__/service-factory.spec.ts
+++ b/src/services/code-index/__tests__/service-factory.spec.ts
@@ -566,7 +566,7 @@ describe("CodeIndexServiceFactory", () => {
 				qdrantApiKey: "test-key",
 			}
 			mockConfigManager.getConfig.mockReturnValue(testConfig as any)
-			mockGetModelDimension.mockReturnValue(3072)
+			mockGetModelDimension.mockReturnValue(768)
 
 			// Act
 			factory.createVectorStore()
@@ -576,7 +576,7 @@ describe("CodeIndexServiceFactory", () => {
 			expect(MockedQdrantVectorStore).toHaveBeenCalledWith(
 				"/test/workspace",
 				"http://localhost:6333",
-				3072,
+				768,
 				"test-key",
 			)
 		})
@@ -590,7 +590,7 @@ describe("CodeIndexServiceFactory", () => {
 			}
 			mockConfigManager.getConfig.mockReturnValue(testConfig as any)
 			mockGetDefaultModelId.mockReturnValue("gemini-embedding-001")
-			mockGetModelDimension.mockReturnValue(3072)
+			mockGetModelDimension.mockReturnValue(768)
 
 			// Act
 			factory.createVectorStore()
@@ -601,7 +601,7 @@ describe("CodeIndexServiceFactory", () => {
 			expect(MockedQdrantVectorStore).toHaveBeenCalledWith(
 				"/test/workspace",
 				"http://localhost:6333",
-				3072,
+				768,
 				"test-key",
 			)
 		})
diff --git a/src/services/code-index/embedders/gemini.ts b/src/services/code-index/embedders/gemini.ts
index 7e795875c9..6f032863e4 100644
--- a/src/services/code-index/embedders/gemini.ts
+++ b/src/services/code-index/embedders/gemini.ts
@@ -11,7 +11,7 @@ import { TelemetryService } from "@roo-code/telemetry"
  *
  * Supported models:
  * - text-embedding-004 (dimension: 768)
- * - gemini-embedding-001 (dimension: 2048)
+ * - gemini-embedding-001 (dimension: 3072)
  */
 export class GeminiEmbedder implements IEmbedder {
 	private readonly openAICompatibleEmbedder: OpenAICompatibleEmbedder
diff --git a/src/services/code-index/embedders/openai-compatible.ts b/src/services/code-index/embedders/openai-compatible.ts
index 06c4ba5282..9d20b2f179 100644
--- a/src/services/code-index/embedders/openai-compatible.ts
+++ b/src/services/code-index/embedders/openai-compatible.ts
@@ -278,8 +278,15 @@ export class OpenAICompatibleEmbedder implements IEmbedder {
 					if (typeof item.embedding === "string") {
 						const buffer = Buffer.from(item.embedding, "base64")
 
-						// Create Float32Array view over the buffer
-						const float32Array = new Float32Array(buffer.buffer, buffer.byteOffset, buffer.byteLength / 4)
+						// Safe approach: Create Float32Array from a properly aligned copy
+						// This avoids issues with Node.js Buffers that may be views into larger ArrayBuffers
+						const float32Array = new Float32Array(buffer.length / 4)
+						const dataView = new DataView(buffer.buffer, buffer.byteOffset, buffer.byteLength)
+
+						// Read floats with proper byte order handling (little-endian)
+						for (let i = 0; i < float32Array.length; i++) {
+							float32Array[i] = dataView.getFloat32(i * 4, true)
+						}
 
 						return {
 							...item,