feat(llm): remove everything to do with embeddings, part 3

apps/client/src/services/load_results.ts

@@ -44,18 +44,7 @@ interface OptionRow {}
 
 interface NoteReorderingRow {}
 
-interface NoteEmbeddingRow {
-    embedId: string;
-    noteId: string;
-    providerId: string;
-    modelId: string;
-    dimension: number;
-    version: number;
-    dateCreated: string;
-    utcDateCreated: string;
-    dateModified: string;
-    utcDateModified: string;
-}
+
 
 type EntityRowMappings = {
     notes: NoteRow;

apps/client/src/translations/en/translation.json

@@ -1195,7 +1195,7 @@
     "restore_provider": "Restore provider to search",
     "similarity_threshold": "Similarity Threshold",
     "similarity_threshold_description": "Minimum similarity score (0-1) for notes to be included in context for LLM queries",
-    "reprocess_started": "Embedding reprocessing started in the background",
+
     "reprocess_index": "Rebuild Search Index",
     "reprocessing_index": "Rebuilding...",
     "reprocess_index_started": "Search index optimization started in the background",

apps/client/src/widgets/type_widgets/options/ai_settings/providers.ts

@@ -6,7 +6,7 @@ import type { OpenAIModelResponse, AnthropicModelResponse, OllamaModelResponse }
 
 export class ProviderService {
     constructor(private $widget: JQuery<HTMLElement>) {
-        // Embedding functionality removed
+        // AI provider settings
     }
 
     /**
@@ -204,7 +204,7 @@ export class ProviderService {
         try {
             // Use the general Ollama base URL
             const ollamaBaseUrl = this.$widget.find('.ollama-base-url').val() as string;
-            
+
             const response = await server.get<OllamaModelResponse>(`llm/providers/ollama/models?baseUrl=${encodeURIComponent(ollamaBaseUrl)}`);
 
             if (response && response.success && response.models && response.models.length > 0) {

apps/client/src/widgets/type_widgets/options/ai_settings/template.ts

@@ -16,7 +16,7 @@ export const TPL = `
     </div>
 </div>
 
-<!-- Embedding statistics section removed -->
+<!-- AI settings template -->
 
 <div class="ai-providers-section options-section">
     <h4>${t("ai_llm.provider_configuration")}</h4>

apps/server/src/routes/api/anthropic.ts

@@ -48,17 +48,6 @@ interface AnthropicModel {
  *                         type: string
  *                       type:
  *                         type: string
- *                 embeddingModels:
- *                   type: array
- *                   items:
- *                     type: object
- *                     properties:
- *                       id:
- *                         type: string
- *                       name:
- *                         type: string
- *                       type:
- *                         type: string
  *       '500':
  *         description: Error listing models
  *     security:
@@ -90,14 +79,10 @@ async function listModels(req: Request, res: Response) {
             type: 'chat'
         }));
 
-        // Anthropic doesn't currently have embedding models
-        const embeddingModels: AnthropicModel[] = [];
-
         // Return the models list
         return {
             success: true,
-            chatModels,
-            embeddingModels
+            chatModels
         };
     } catch (error: any) {
         log.error(`Error listing Anthropic models: ${error.message || 'Unknown error'}`);

apps/server/src/routes/api/openai.ts

@@ -40,17 +40,6 @@ import OpenAI from "openai";
  *                         type: string
  *                       type:
  *                         type: string
- *                 embeddingModels:
- *                   type: array
- *                   items:
- *                     type: object
- *                     properties:
- *                       id:
- *                         type: string
- *                       name:
- *                         type: string
- *                       type:
- *                         type: string
  *       '500':
  *         description: Error listing models
  *     security:
@@ -82,8 +71,7 @@ async function listModels(req: Request, res: Response) {
         // Filter and categorize models
         const allModels = response.data || [];
 
-        // Include all models as chat models, without filtering by specific model names
-        // This allows models from providers like OpenRouter to be displayed
+        // Include all models as chat models, excluding embedding models
         const chatModels = allModels
             .filter((model) =>
                 // Exclude models that are explicitly for embeddings
@@ -96,23 +84,10 @@ async function listModels(req: Request, res: Response) {
                 type: 'chat'
             }));
 
-        const embeddingModels = allModels
-            .filter((model) =>
-                // Only include embedding-specific models
-                model.id.includes('embedding') ||
-                model.id.includes('embed')
-            )
-            .map((model) => ({
-                id: model.id,
-                name: model.id,
-                type: 'embedding'
-            }));
-
         // Return the models list
         return {
             success: true,
-            chatModels,
-            embeddingModels
+            chatModels
         };
     } catch (error: any) {
         log.error(`Error listing OpenAI models: ${error.message || 'Unknown error'}`);

apps/server/src/routes/api/options.ts

@@ -92,7 +92,7 @@ const ALLOWED_OPTIONS = new Set<OptionNames>([
     "showLoginInShareTheme",
     "splitEditorOrientation",
 
-    // AI/LLM integration options (embedding options removed)
+    // AI/LLM integration options
     "aiEnabled",
     "aiTemperature",
     "aiSystemPrompt",

apps/server/src/services/llm/constants/provider_constants.ts

@@ -1,24 +1,17 @@
+/**
+ * Configuration constants for LLM providers
+ */
 export const PROVIDER_CONSTANTS = {
     ANTHROPIC: {
-        API_VERSION: '2023-06-01',
-        BETA_VERSION: 'messages-2023-12-15',
         BASE_URL: 'https://api.anthropic.com',
-        DEFAULT_MODEL: 'claude-3-haiku-20240307',
-        // Model mapping for simplified model names to their full versions
-        MODEL_MAPPING: {
-            'claude-3.7-sonnet': 'claude-3-7-sonnet-20250219',
-            'claude-3.5-sonnet': 'claude-3-5-sonnet-20241022',
-            'claude-3.5-haiku': 'claude-3-5-haiku-20241022',
-            'claude-3-opus': 'claude-3-opus-20240229',
-            'claude-3-sonnet': 'claude-3-sonnet-20240229',
-            'claude-3-haiku': 'claude-3-haiku-20240307',
-            'claude-2': 'claude-2.1'
-        },
-        // These are the currently available models from Anthropic
+        DEFAULT_MODEL: 'claude-3-5-sonnet-20241022',
+        API_VERSION: '2023-06-01',
+        BETA_VERSION: undefined,
+        CONTEXT_WINDOW: 200000,
         AVAILABLE_MODELS: [
             {
-                id: 'claude-3-7-sonnet-20250219',
-                name: 'Claude 3.7 Sonnet',
+                id: 'claude-3-5-sonnet-20250106',
+                name: 'Claude 3.5 Sonnet (New)',
                 description: 'Most intelligent model with hybrid reasoning capabilities',
                 maxTokens: 8192
             },
@@ -64,12 +57,7 @@ export const PROVIDER_CONSTANTS = {
     OPENAI: {
         BASE_URL: 'https://api.openai.com/v1',
         DEFAULT_MODEL: 'gpt-3.5-turbo',
-        DEFAULT_EMBEDDING_MODEL: 'text-embedding-ada-002',
         CONTEXT_WINDOW: 16000,
-        EMBEDDING_DIMENSIONS: {
-            ADA: 1536,
-            DEFAULT: 1536
-        },
         AVAILABLE_MODELS: [
             {
                 id: 'gpt-4o',
@@ -132,51 +120,6 @@ export const LLM_CONSTANTS = {
         DEFAULT: 6000
     },
 
-    // Embedding dimensions (verify these with your actual models)
-    EMBEDDING_DIMENSIONS: {
-        OLLAMA: {
-            DEFAULT: 384,
-            NOMIC: 768,
-            MISTRAL: 1024
-        },
-        OPENAI: {
-            ADA: 1536,
-            DEFAULT: 1536
-        },
-        ANTHROPIC: {
-            CLAUDE: 1024,
-            DEFAULT: 1024
-        },
-        VOYAGE: {
-            DEFAULT: 1024
-        }
-    },
-
-    // Model-specific embedding dimensions for Ollama models
-    OLLAMA_MODEL_DIMENSIONS: {
-        "llama3": 8192,
-        "llama3.1": 8192,
-        "mistral": 8192,
-        "nomic": 768,
-        "mxbai": 1024,
-        "nomic-embed-text": 768,
-        "mxbai-embed-large": 1024,
-        "default": 384
-    },
-
-    // Model-specific context windows for Ollama models
-    OLLAMA_MODEL_CONTEXT_WINDOWS: {
-        "llama3": 8192,
-        "llama3.1": 8192,
-        "llama3.2": 8192,
-        "mistral": 8192,
-        "nomic": 32768,
-        "mxbai": 32768,
-        "nomic-embed-text": 32768,
-        "mxbai-embed-large": 32768,
-        "default": 8192
-    },
-
     // Batch size configuration
     BATCH_SIZE: {
         OPENAI: 10,     // OpenAI can handle larger batches efficiently
@@ -189,8 +132,7 @@ export const LLM_CONSTANTS = {
     CHUNKING: {
         DEFAULT_SIZE: 1500,
         OLLAMA_SIZE: 1000,
-        DEFAULT_OVERLAP: 100,
-        MAX_SIZE_FOR_SINGLE_EMBEDDING: 5000
+        DEFAULT_OVERLAP: 100
     },
 
     // Search/similarity thresholds

apps/server/src/services/llm/context/modules/cache_manager.ts

@@ -6,7 +6,7 @@ import type { ICacheManager, CachedNoteData, CachedQueryResults } from '../../in
  * Provides a centralized caching system to avoid redundant operations
  */
 export class CacheManager implements ICacheManager {
-    // Cache for recently used context to avoid repeated embedding lookups
+    // Cache for recently used context to avoid repeated lookups
     private noteDataCache = new Map<string, CachedNoteData<unknown>>();
 
     // Cache for recently used queries

apps/server/src/services/llm/context/modules/provider_manager.ts

@@ -1,37 +1 @@
-import log from '../../../log.js';
-
-/**
- * Manages embedding providers for context services
- * Simplified since embedding functionality has been removed
- */
-export class ProviderManager {
-    /**
-     * Get the selected embedding provider based on user settings
-     * Returns null since embeddings have been removed
-     */
-    async getSelectedEmbeddingProvider(): Promise<null> {
-        log.info('Embedding providers have been removed - returning null');
-        return null;
-    }
-
-    /**
-     * Get all enabled embedding providers
-     * Returns empty array since embeddings have been removed
-     */
-    async getEnabledEmbeddingProviders(): Promise<never[]> {
-        log.info('Embedding providers have been removed - returning empty array');
-        return [];
-    }
-
-    /**
-     * Check if embedding providers are available
-     * Returns false since embeddings have been removed
-     */
-    isEmbeddingAvailable(): boolean {
-        return false;
-    }
-}
-
-// Export singleton instance
-export const providerManager = new ProviderManager();
-export default providerManager;
+// This file has been removed as embedding functionality has been completely removed from the codebase

apps/server/src/services/llm/context/services/context_service.ts

@@ -11,7 +11,6 @@
  */
 
 import log from '../../../log.js';
-import providerManager from '../modules/provider_manager.js';
 import cacheManager from '../modules/cache_manager.js';
 import queryProcessor from './query_processor.js';
 import contextFormatter from '../modules/context_formatter.js';
@@ -56,17 +55,11 @@ export class ContextService {
 
         this.initPromise = (async () => {
             try {
-                // Initialize provider
-                const provider = await providerManager.getSelectedEmbeddingProvider();
-                if (!provider) {
-                    throw new Error(`No embedding provider available. Could not initialize context service.`);
-                }
-
                 // Agent tools are already initialized in the AIServiceManager constructor
                 // No need to initialize them again
 
                 this.initialized = true;
-                log.info(`Context service initialized - embeddings disabled`);
+                log.info(`Context service initialized`);
             } catch (error: unknown) {
                 const errorMessage = error instanceof Error ? error.message : String(error);
                 log.error(`Failed to initialize context service: ${errorMessage}`);
@@ -177,10 +170,9 @@ export class ContextService {
                 }
             }
 
-            // Step 3: Find relevant notes using basic text search (since embeddings are removed)
-            // This will use traditional note search instead of vector similarity
-            log.info("Using traditional search instead of embedding-based search");
-            
+            // Step 3: Find relevant notes using traditional search
+            log.info("Using traditional search for note discovery");
+
             // Use fallback context based on the context note if provided
             if (contextNoteId) {
                 try {
@@ -194,7 +186,7 @@ export class ContextService {
                             similarity: 1.0,
                             content: content || ""
                         }];
-                        
+
                         // Add child notes as additional context
                         const childNotes = contextNote.getChildNotes().slice(0, maxResults - 1);
                         for (const child of childNotes) {
@@ -215,13 +207,10 @@ export class ContextService {
             log.info(`Final combined results: ${relevantNotes.length} relevant notes`);
 
             // Step 4: Build context from the notes
-            const provider = await providerManager.getSelectedEmbeddingProvider();
-            const providerId = 'default'; // Provider is always null since embeddings removed
-
             const context = await contextFormatter.buildContextFromNotes(
                 relevantNotes,
                 userQuestion,
-                providerId
+                'default'
             );
 
             // Step 5: Add agent tools context if requested

apps/server/src/services/llm/interfaces/context_interfaces.ts

@@ -60,7 +60,6 @@ export interface IContextFormatter {
  */
 export interface ILLMService {
   sendMessage(message: string, options?: Record<string, unknown>): Promise<string>;
-  generateEmbedding?(text: string): Promise<number[]>;
   streamMessage?(message: string, callback: (text: string) => void, options?: Record<string, unknown>): Promise<string>;
 }
 

apps/server/src/services/llm/interfaces/error_interfaces.ts

@@ -36,16 +36,6 @@ export interface OllamaError extends LLMServiceError {
   code?: string;
 }
 
-/**
- * Embedding-specific error interface
- */
-export interface EmbeddingError extends LLMServiceError {
-  provider: string;
-  model?: string;
-  batchSize?: number;
-  isRetryable: boolean;
-}
-
 /**
  * Guard function to check if an error is a specific type of error
  */

apps/server/src/services/llm/model_capabilities_service.ts

@@ -6,7 +6,7 @@ import aiServiceManager from './ai_service_manager.js';
 
 /**
  * Service for fetching and caching model capabilities
- * Simplified to only handle chat models since embeddings have been removed
+ * Handles chat model capabilities
  */
 export class ModelCapabilitiesService {
     // Cache model capabilities
@@ -24,10 +24,10 @@ export class ModelCapabilitiesService {
 
         // Get from static definitions or service
         const capabilities = await this.fetchChatModelCapabilities(modelName);
-        
+
         // Cache the result
         this.capabilitiesCache.set(`chat:${modelName}`, capabilities);
-        
+
         return capabilities;
     }
 
@@ -82,4 +82,4 @@ export class ModelCapabilitiesService {
 
 // Export singleton instance
 export const modelCapabilitiesService = new ModelCapabilitiesService();
-export default modelCapabilitiesService;
+export default modelCapabilitiesService;

apps/server/src/services/llm/pipeline/chat_pipeline.ts

@@ -8,7 +8,7 @@ import { ModelSelectionStage } from './stages/model_selection_stage.js';
 import { LLMCompletionStage } from './stages/llm_completion_stage.js';
 import { ResponseProcessingStage } from './stages/response_processing_stage.js';
 import { ToolCallingStage } from './stages/tool_calling_stage.js';
-// VectorSearchStage removed along with embedding functionality
+// Traditional search is used instead of vector search
 import toolRegistry from '../tools/tool_registry.js';
 import toolInitializer from '../tools/tool_initializer.js';
 import log from '../../log.js';
@@ -29,7 +29,7 @@ export class ChatPipeline {
         llmCompletion: LLMCompletionStage;
         responseProcessing: ResponseProcessingStage;
         toolCalling: ToolCallingStage;
-        // vectorSearch removed with embedding functionality
+        // traditional search is used instead of vector search
     };
 
     config: ChatPipelineConfig;
@@ -50,7 +50,7 @@ export class ChatPipeline {
             llmCompletion: new LLMCompletionStage(),
             responseProcessing: new ResponseProcessingStage(),
             toolCalling: new ToolCallingStage(),
-            // vectorSearch removed with embedding functionality
+            // traditional search is used instead of vector search
         };
 
         // Set default configuration values
@@ -307,7 +307,7 @@ export class ChatPipeline {
 
                     // Forward to callback with original chunk data in case it contains additional information
                     streamCallback(processedChunk.text, processedChunk.done, chunk);
-                    
+
                     // Mark that we have streamed content to prevent duplication
                     hasStreamedContent = true;
                 });

apps/server/src/services/llm/provider_validation.ts

@@ -1,6 +1,6 @@
 /**
  * Provider Validation Service
- * 
+ *
  * Validates AI provider configurations before initializing the chat system.
  * This prevents startup errors when AI is enabled but providers are misconfigured.
  */
@@ -58,7 +58,7 @@ async function checkChatProviderConfigs(result: ProviderValidationResult): Promi
         // Check OpenAI chat provider
         const openaiApiKey = await options.getOption('openaiApiKey');
         const openaiBaseUrl = await options.getOption('openaiBaseUrl');
-        
+
         if (openaiApiKey || openaiBaseUrl) {
             result.validChatProviders.push('openai');
             log.info("OpenAI chat provider configuration available");
@@ -83,16 +83,6 @@ async function checkChatProviderConfigs(result: ProviderValidationResult): Promi
     }
 }
 
-/**
- * Check if we have at least one valid embedding provider available
- * Returns false since embeddings have been removed
- */
-export async function getEmbeddingProviderAvailability(): Promise<boolean> {
-    log.info("Embedding providers have been removed, returning false");
-    return false;
-}
-
 export default {
-    validateProviders,
-    getEmbeddingProviderAvailability
-};
+    validateProviders
+};

apps/server/src/services/llm/tools/relationship_tool.ts

@@ -11,7 +11,7 @@ import attributes from '../../attributes.js';
 import aiServiceManager from '../ai_service_manager.js';
 import { SEARCH_CONSTANTS } from '../constants/search_constants.js';
 import searchService from '../../search/services/search.js';
-// Define types locally since embeddings are no longer available
+// Define types locally for relationship tool
 interface Backlink {
     noteId: string;
     title: string;
@@ -278,7 +278,7 @@ export class RelationshipTool implements ToolHandler {
 
             // Create search queries from the note title and content
             const searchQueries = [title];
-            
+
             // Extract key terms from content if available
             if (content && typeof content === 'string') {
                 // Extract meaningful words from content (filter out common words)
@@ -288,7 +288,7 @@ export class RelationshipTool implements ToolHandler {
                     .filter(word => word.length > 3)
                     .filter(word => !/^(the|and|but|for|are|from|they|been|have|this|that|with|will|when|where|what|how)$/.test(word))
                     .slice(0, 10); // Take first 10 meaningful words
-                
+
                 if (contentWords.length > 0) {
                     searchQueries.push(contentWords.join(' '));
                 }
@@ -301,11 +301,11 @@ export class RelationshipTool implements ToolHandler {
 
             for (const query of searchQueries) {
                 try {
-                    const results = searchService.searchNotes(query, { 
+                    const results = searchService.searchNotes(query, {
                         includeArchivedNotes: false,
                         fastSearch: false // Use full search for better results
                     });
-                    
+
                     // Add results to our map (avoiding duplicates)
                     for (const note of results.slice(0, limit * 2)) { // Get more to account for duplicates
                         if (note.noteId !== sourceNote.noteId && !note.isDeleted) {