fix: chat "this note" context searches all notes + Ollama model selector missing search

- When chat scope is "this note" (noteContext present), skip RAG/semantic
  search entirely. Previously the AI received all user notes as context
  even when scoped to a single note, causing irrelevant responses.
- Replace 3 native <select> elements for Ollama models with searchable
  Combobox component (tags, embeddings, chat providers).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

memento-note/app/(admin)/admin/settings/admin-settings-form.tsx

@@ -446,27 +446,21 @@ export function AdminSettingsForm({ config }: { config: Record<string, string> }
                     </div>
                   </div>
                   <div className="space-y-2">
-                    <Label htmlFor="AI_MODEL_TAGS_OLLAMA">{t('admin.ai.model')}</Label>
-                    <select
-                      id="AI_MODEL_TAGS_OLLAMA"
-                      name="AI_MODEL_TAGS_OLLAMA"
+                    <Label>{t('admin.ai.model')}</Label>
+                    <input type="hidden" name="AI_MODEL_TAGS_OLLAMA" value={selectedTagsModel} />
+                    <Combobox
+                      options={ollamaTagsModels.length > 0
+                        ? ollamaTagsModels.map((m) => ({ value: m, label: m }))
+                        : selectedTagsModel
+                          ? [{ value: selectedTagsModel, label: `${selectedTagsModel} (${t('admin.ai.saved')})` }]
+                          : []
+                      }
                       value={selectedTagsModel}
-                      onChange={(e) => setSelectedTagsModel(e.target.value)}
-                      className="flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2"
-                    >
-                      {ollamaTagsModels.length > 0 ? (
-                        <>
-                          {!ollamaTagsModels.includes(selectedTagsModel) && selectedTagsModel && (
-                            <option value={selectedTagsModel}>{selectedTagsModel} ({t('admin.ai.configured')})</option>
-                          )}
-                          {ollamaTagsModels.map((model) => (
-                            <option key={model} value={model}>{model}</option>
-                          ))}
-                        </>
-                      ) : (
-                        <option value={selectedTagsModel || 'granite4:latest'}>{selectedTagsModel || 'granite4:latest'} {t('admin.ai.saved')}</option>
-                      )}
-                    </select>
+                      onChange={setSelectedTagsModel}
+                      placeholder={selectedTagsModel || t('admin.ai.clickToLoadModels')}
+                      searchPlaceholder={t('admin.ai.searchModel')}
+                      emptyMessage={t('admin.ai.noModels')}
+                    />
                     <p className="text-xs text-muted-foreground">
                       {isLoadingTagsModels ? t('admin.ai.fetchingModels') : t('admin.ai.selectOllamaModel')}
                     </p>
@@ -620,27 +614,21 @@ export function AdminSettingsForm({ config }: { config: Record<string, string> }
                     </div>
                   </div>
                   <div className="space-y-2">
-                    <Label htmlFor="AI_MODEL_EMBEDDING_OLLAMA">{t('admin.ai.model')}</Label>
-                    <select
-                      id="AI_MODEL_EMBEDDING_OLLAMA"
-                      name="AI_MODEL_EMBEDDING_OLLAMA"
+                    <Label>{t('admin.ai.model')}</Label>
+                    <input type="hidden" name="AI_MODEL_EMBEDDING_OLLAMA" value={selectedEmbeddingModel} />
+                    <Combobox
+                      options={ollamaEmbeddingsModels.length > 0
+                        ? ollamaEmbeddingsModels.map((m) => ({ value: m, label: m }))
+                        : selectedEmbeddingModel
+                          ? [{ value: selectedEmbeddingModel, label: `${selectedEmbeddingModel} (${t('admin.ai.saved')})` }]
+                          : []
+                      }
                       value={selectedEmbeddingModel}
-                      onChange={(e) => setSelectedEmbeddingModel(e.target.value)}
-                      className="flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2"
-                    >
-                      {ollamaEmbeddingsModels.length > 0 ? (
-                        <>
-                          {!ollamaEmbeddingsModels.includes(selectedEmbeddingModel) && selectedEmbeddingModel && (
-                            <option value={selectedEmbeddingModel}>{selectedEmbeddingModel} ({t('admin.ai.configured')})</option>
-                          )}
-                          {ollamaEmbeddingsModels.map((model) => (
-                            <option key={model} value={model}>{model}</option>
-                          ))}
-                        </>
-                      ) : (
-                        <option value={selectedEmbeddingModel || 'embeddinggemma:latest'}>{selectedEmbeddingModel || 'embeddinggemma:latest'} {t('admin.ai.saved')}</option>
-                      )}
-                    </select>
+                      onChange={setSelectedEmbeddingModel}
+                      placeholder={selectedEmbeddingModel || t('admin.ai.clickToLoadModels')}
+                      searchPlaceholder={t('admin.ai.searchModel')}
+                      emptyMessage={t('admin.ai.noModels')}
+                    />
                     <p className="text-xs text-muted-foreground">
                       {isLoadingEmbeddingsModels ? t('admin.ai.fetchingModels') : t('admin.ai.selectEmbeddingModel')}
                     </p>
@@ -790,27 +778,21 @@ export function AdminSettingsForm({ config }: { config: Record<string, string> }
                     </div>
                   </div>
                   <div className="space-y-2">
-                    <Label htmlFor="AI_MODEL_CHAT_OLLAMA">{t('admin.ai.model')}</Label>
-                    <select
-                      id="AI_MODEL_CHAT_OLLAMA"
-                      name="AI_MODEL_CHAT_OLLAMA"
+                    <Label>{t('admin.ai.model')}</Label>
+                    <input type="hidden" name="AI_MODEL_CHAT_OLLAMA" value={selectedChatModel} />
+                    <Combobox
+                      options={ollamaChatModels.length > 0
+                        ? ollamaChatModels.map((m) => ({ value: m, label: m }))
+                        : selectedChatModel
+                          ? [{ value: selectedChatModel, label: `${selectedChatModel} (${t('admin.ai.saved')})` }]
+                          : []
+                      }
                       value={selectedChatModel}
-                      onChange={(e) => setSelectedChatModel(e.target.value)}
-                      className="flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2"
-                    >
-                      {ollamaChatModels.length > 0 ? (
-                        <>
-                          {!ollamaChatModels.includes(selectedChatModel) && selectedChatModel && (
-                            <option value={selectedChatModel}>{selectedChatModel} ({t('admin.ai.configured')})</option>
-                          )}
-                          {ollamaChatModels.map((model) => (
-                            <option key={model} value={model}>{model}</option>
-                          ))}
-                        </>
-                      ) : (
-                        <option value={selectedChatModel || 'granite4:latest'}>{selectedChatModel || 'granite4:latest'} {t('admin.ai.saved')}</option>
-                      )}
-                    </select>
+                      onChange={setSelectedChatModel}
+                      placeholder={selectedChatModel || t('admin.ai.clickToLoadModels')}
+                      searchPlaceholder={t('admin.ai.searchModel')}
+                      emptyMessage={t('admin.ai.noModels')}
+                    />
                     <p className="text-xs text-muted-foreground">
                       {isLoadingChatModels ? t('admin.ai.fetchingModels') : t('admin.ai.selectOllamaModel')}
                     </p>

memento-note/app/api/chat/route.ts

@@ -99,40 +99,46 @@ export async function POST(req: Request) {
   // This ensures the AI always has access to the notebook content,
   // even for vague queries like "what's in this notebook?"
   let notebookContext = ''
-  if (notebookId) {
-    const notebookNotes = await prisma.note.findMany({
-      where: {
-        notebookId,
-        userId,
-        trashedAt: null,
-      },
-      orderBy: { updatedAt: 'desc' },
-      take: 20,
-      select: { id: true, title: true, content: true, updatedAt: true },
-    })
-    if (notebookNotes.length > 0) {
-      notebookContext = notebookNotes
-        .map(n => `NOTE [${n.title || untitledText}] (updated ${n.updatedAt.toLocaleDateString()}):\n${(n.content || '').substring(0, 1500)}`)
-        .join('\n\n---\n\n')
+  let searchNotes = ''
+
+  // When scope is "this note" (noteContext present), skip RAG retrieval entirely
+  // The note content is already injected as copilotContext below
+  if (!noteContext) {
+    if (notebookId) {
+      const notebookNotes = await prisma.note.findMany({
+        where: {
+          notebookId,
+          userId,
+          trashedAt: null,
+        },
+        orderBy: { updatedAt: 'desc' },
+        take: 20,
+        select: { id: true, title: true, content: true, updatedAt: true },
+      })
+      if (notebookNotes.length > 0) {
+        notebookContext = notebookNotes
+          .map(n => `NOTE [${n.title || untitledText}] (updated ${n.updatedAt.toLocaleDateString()}):\n${(n.content || '').substring(0, 1500)}`)
+          .join('\n\n---\n\n')
+      }
     }
-  }
 
-  // Also run semantic search for the specific query
-  let searchResults: any[] = []
-  try {
-    searchResults = await semanticSearchService.search(currentMessage, {
-      notebookId,
-      limit: notebookId ? 10 : 5,
-      threshold: notebookId ? 0.3 : 0.5,
-      defaultTitle: untitledText,
-    })
-  } catch {
-    // Search failure should not block chat
-  }
+    // Also run semantic search for the specific query
+    let searchResults: any[] = []
+    try {
+      searchResults = await semanticSearchService.search(currentMessage, {
+        notebookId,
+        limit: notebookId ? 10 : 5,
+        threshold: notebookId ? 0.3 : 0.5,
+        defaultTitle: untitledText,
+      })
+    } catch {
+      // Search failure should not block chat
+    }
 
-  const searchNotes = searchResults
-    .map((r) => `NOTE [${r.title || untitledText}]: ${r.content}`)
-    .join('\n\n---\n\n')
+    searchNotes = searchResults
+      .map((r) => `NOTE [${r.title || untitledText}]: ${r.content}`)
+      .join('\n\n---\n\n')
+  }
 
   // Combine: full notebook context + semantic search results (deduplicated)
   const contextNotes = [notebookContext, searchNotes].filter(Boolean).join('\n\n---\n\n')
@@ -354,7 +360,7 @@ ${noteContext.content || '(empty)'}
 ${imageContextParts.length > 0 ? `\nImages: ${imageContextParts.length} image(s) attached. When the user asks about images, describe what you see in them.` : ''}
 
 The user wants you to write in a **${noteContext.tone || 'professional'}** tone.
-Keep your suggestions tailored to this note and tone. You can suggest rewrites, answer questions about the note, or draft new sections.`
+IMPORTANT: Focus ONLY on this note. Do NOT reference other notes or external information unless the user explicitly asks. Your job is to help with this specific note — suggest rewrites, answer questions about it, or draft new sections.`
   }
 
   const systemPrompt = `${prompts.system}