refactor for react - tts is causing trouble - refactoring that now - will follow with flutter once done

Author: shubhammalhotra28

examples/react-native/RunAnywhereAI/App.tsx

@@ -48,9 +48,9 @@
 		9E75FBBD9CE4CFEFC37E3C16 /* libPods-RunAnywhereAI.a */ = {isa = PBXFileReference; explicitFileType = archive.ar; includeInIndex = 0; path = "libPods-RunAnywhereAI.a"; sourceTree = BUILT_PRODUCTS_DIR; };
 		AABB001122334456 /* NativeAudioModule.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; name = NativeAudioModule.swift; path = RunAnywhereAI/NativeAudioModule.swift; sourceTree = "<group>"; };
 		AABB001122334458 /* NativeAudioModule.m */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.objc; name = NativeAudioModule.m; path = RunAnywhereAI/NativeAudioModule.m; sourceTree = "<group>"; };
+		AABB001122334459 /* RunAnywhereAI-Bridging-Header.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = "RunAnywhereAI-Bridging-Header.h"; path = "RunAnywhereAI/RunAnywhereAI-Bridging-Header.h"; sourceTree = "<group>"; };
 		CCDD001122334456 /* DocumentService.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; name = DocumentService.swift; path = RunAnywhereAI/DocumentService.swift; sourceTree = "<group>"; };
 		CCDD001122334458 /* DocumentService.m */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.objc; name = DocumentService.m; path = RunAnywhereAI/DocumentService.m; sourceTree = "<group>"; };
-		AABB001122334459 /* RunAnywhereAI-Bridging-Header.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = "RunAnywhereAI-Bridging-Header.h"; path = "RunAnywhereAI/RunAnywhereAI-Bridging-Header.h"; sourceTree = "<group>"; };
 		ED297162215061F000B7C4FE /* JavaScriptCore.framework */ = {isa = PBXFileReference; lastKnownFileType = wrapper.framework; name = JavaScriptCore.framework; path = System/Library/Frameworks/JavaScriptCore.framework; sourceTree = SDKROOT; };
 		FF375136ECCEFB06442E8E31 /* PrivacyInfo.xcprivacy */ = {isa = PBXFileReference; includeInIndex = 1; lastKnownFileType = text.xml; name = PrivacyInfo.xcprivacy; path = RunAnywhereAI/PrivacyInfo.xcprivacy; sourceTree = "<group>"; };
 /* End PBXFileReference section */

examples/react-native/RunAnywhereAI/ios/RunAnywhereAI.xcodeproj/project.pbxproj

@@ -293,12 +293,6 @@ export const ModelSelectionSheet: React.FC<ModelSelectionSheetProps> = ({
               if (!fw || !allowedFrameworks.has(fw)) return false;
             }
 
-            // Exclude supporting files (vocab, tokenizer) from embedding selection
-            if (context === ModelSelectionContext.RagEmbedding) {
-              const id = m.id.toLowerCase();
-              if (id.endsWith('-vocab') || id.endsWith('-tokenizer')) return false;
-            }
-
             return true;
           })
         : allModels;

examples/react-native/RunAnywhereAI/src/components/model/ModelSelectionSheet.tsx

@@ -44,7 +44,6 @@ import {
   ragDestroyPipeline,
   ragIngest,
   ragQuery,
-  type RAGConfiguration,
 } from '@runanywhere/core';
 
 // MARK: - Types
@@ -75,15 +74,6 @@ function resolveLLMFilePath(localPath: string): string {
   return localPath;
 }
 
-function resolveVocabPath(embeddingPath: string): string | null {
-  if (embeddingPath.endsWith('.onnx')) {
-    const lastSlash = embeddingPath.lastIndexOf('/');
-    if (lastSlash === -1) return null;
-    return `${embeddingPath.substring(0, lastSlash)}/vocab.txt`;
-  }
-  return `${embeddingPath}/vocab.txt`;
-}
-
 // MARK: - Document Text Extraction
 
 const { DocumentService: NativeDocumentService } = NativeModules;
@@ -191,24 +181,22 @@ export const RAGScreen: React.FC = () => {
       // Extract text from the picked file
       const text = await extractTextFromFile(fileUri);
 
-      // Build RAG configuration matching iOS ragConfig computed property
+      // Build RAG configuration matching iOS ragConfig computed property.
+      // With multi-file registration, vocab.txt is co-located with model.onnx,
+      // so the C++ pipeline auto-discovers it (no embeddingConfigJSON needed).
       const embeddingPath = resolveEmbeddingFilePath(
         selectedEmbeddingModel!.localPath!
       );
       const llmPath = resolveLLMFilePath(selectedLLMModel!.localPath!);
-      const vocabPath = resolveVocabPath(embeddingPath);
 
-      const config: RAGConfiguration = {
+      const config = {
         embeddingModelPath: embeddingPath,
         llmModelPath: llmPath,
         topK: 5,
         similarityThreshold: 0.25,
         maxContextTokens: 2048,
         chunkSize: 512,
         chunkOverlap: 50,
-        embeddingConfigJSON: vocabPath
-          ? JSON.stringify({ vocab_path: vocabPath })
-          : undefined,
       };
 
       // Create pipeline and ingest document (same as iOS loadDocument)

examples/react-native/RunAnywhereAI/src/screens/RAGScreen.tsx

@@ -74,6 +74,21 @@ typedef struct rac_embeddings_service {
  */
 RAC_API rac_result_t rac_embeddings_create(const char* model_id, rac_handle_t* out_handle);
 
+/**
+ * @brief Create an embeddings service with additional configuration JSON.
+ *
+ * Same as rac_embeddings_create but forwards config_json (e.g. {"vocab_path":"..."})
+ * to the embedding provider so it can locate companion files.
+ *
+ * @param model_id   Model identifier or path
+ * @param config_json JSON string with provider-specific config (can be NULL)
+ * @param out_handle  Output: Service handle
+ * @return RAC_SUCCESS or error code
+ */
+RAC_API rac_result_t rac_embeddings_create_with_config(const char* model_id,
+                                                        const char* config_json,
+                                                        rac_handle_t* out_handle);
+
 /**
  * @brief Initialize the service with a model
  *