diff --git a/newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.js b/newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.js
index 6e09427..6792607 100644
--- a/newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.js
+++ b/newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.js
@@ -71,35 +71,55 @@ async function embed(text, cfg) {
         return null;
     const openaiKey = cfg?.openai_key;
     const geminiKey = cfg?.gemini_key;
+    // Preferência: OpenAI; em QUALQUER falha (ex.: 429 insufficient_quota), cai para
+    // o Gemini — assim uma chave OpenAI sem créditos não derruba o RAG.
+    // ⚠️ OpenAI (1536-dim) e Gemini (768-dim) geram espaços vetoriais incompatíveis.
+    // Ao trocar de provider é preciso REINDEXAR (sync-knowledge + memória de contato),
+    // senão o cosseno mistura dimensões e o retrieval fica sem sentido.
+    if (openaiKey) {
+        const v = await embedOpenAI(input, openaiKey);
+        if (v)
+            return v;
+    }
+    if (geminiKey) {
+        const v = await embedGemini(input, geminiKey);
+        if (v)
+            return v;
+    }
+    return null;
+}
+async function embedOpenAI(input, apiKey) {
     try {
-        if (openaiKey) {
-            const res = await fetch('https://api.openai.com/v1/embeddings', {
-                method: 'POST',
-                headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${openaiKey}` },
-                body: JSON.stringify({ model: 'text-embedding-3-small', input }),
-            });
-            if (!res.ok)
-                return null;
-            const data = await res.json();
-            return data?.data?.[0]?.embedding ?? null;
-        }
-        if (geminiKey) {
-            const url = `https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:embedContent?key=${geminiKey}`;
-            const res = await fetch(url, {
-                method: 'POST',
-                headers: { 'Content-Type': 'application/json' },
-                body: JSON.stringify({ model: 'models/text-embedding-004', content: { parts: [{ text: input }] } }),
-            });
-            if (!res.ok)
-                return null;
-            const data = await res.json();
-            return data?.embedding?.values ?? null;
-        }
+        const res = await fetch('https://api.openai.com/v1/embeddings', {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${apiKey}` },
+            body: JSON.stringify({ model: 'text-embedding-3-small', input }),
+        });
+        if (!res.ok)
+            return null;
+        const data = await res.json();
+        return data?.data?.[0]?.embedding ?? null;
+    }
+    catch {
+        return null;
+    }
+}
+async function embedGemini(input, apiKey) {
+    try {
+        const url = `https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:embedContent?key=${apiKey}`;
+        const res = await fetch(url, {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify({ model: 'models/text-embedding-004', content: { parts: [{ text: input }] } }),
+        });
+        if (!res.ok)
+            return null;
+        const data = await res.json();
+        return data?.embedding?.values ?? null;
     }
     catch {
         return null;
     }
-    return null;
 }
 function hasEmbeddingKey(cfg) {
     return !!(cfg?.openai_key || cfg?.gemini_key);
diff --git a/newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.js.map b/newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.js.map
new file mode 100644
index 0000000..2246427
--- /dev/null
+++ b/newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.ts b/newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.ts
index 1f204d3..75037ab 100644
--- a/newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.ts
+++ b/newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.ts
@@ -49,32 +49,52 @@ export async function embed(text: string, cfg: any): Promise<number[] | null> {
   if (!input.trim()) return null
   const openaiKey = cfg?.openai_key as string | undefined
   const geminiKey = cfg?.gemini_key as string | undefined
+
+  // Preferência: OpenAI; em QUALQUER falha (ex.: 429 insufficient_quota), cai para
+  // o Gemini — assim uma chave OpenAI sem créditos não derruba o RAG.
+  // ⚠️ OpenAI (1536-dim) e Gemini (768-dim) geram espaços vetoriais incompatíveis.
+  // Ao trocar de provider é preciso REINDEXAR (sync-knowledge + memória de contato),
+  // senão o cosseno mistura dimensões e o retrieval fica sem sentido.
+  if (openaiKey) {
+    const v = await embedOpenAI(input, openaiKey)
+    if (v) return v
+  }
+  if (geminiKey) {
+    const v = await embedGemini(input, geminiKey)
+    if (v) return v
+  }
+  return null
+}
+
+async function embedOpenAI(input: string, apiKey: string): Promise<number[] | null> {
   try {
-    if (openaiKey) {
-      const res = await fetch('https://api.openai.com/v1/embeddings', {
-        method: 'POST',
-        headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${openaiKey}` },
-        body: JSON.stringify({ model: 'text-embedding-3-small', input }),
-      })
-      if (!res.ok) return null
-      const data: any = await res.json()
-      return data?.data?.[0]?.embedding ?? null
-    }
-    if (geminiKey) {
-      const url = `https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:embedContent?key=${geminiKey}`
-      const res = await fetch(url, {
-        method: 'POST',
-        headers: { 'Content-Type': 'application/json' },
-        body: JSON.stringify({ model: 'models/text-embedding-004', content: { parts: [{ text: input }] } }),
-      })
-      if (!res.ok) return null
-      const data: any = await res.json()
-      return data?.embedding?.values ?? null
-    }
+    const res = await fetch('https://api.openai.com/v1/embeddings', {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${apiKey}` },
+      body: JSON.stringify({ model: 'text-embedding-3-small', input }),
+    })
+    if (!res.ok) return null
+    const data: any = await res.json()
+    return data?.data?.[0]?.embedding ?? null
+  } catch {
+    return null
+  }
+}
+
+async function embedGemini(input: string, apiKey: string): Promise<number[] | null> {
+  try {
+    const url = `https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:embedContent?key=${apiKey}`
+    const res = await fetch(url, {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({ model: 'models/text-embedding-004', content: { parts: [{ text: input }] } }),
+    })
+    if (!res.ok) return null
+    const data: any = await res.json()
+    return data?.embedding?.values ?? null
   } catch {
     return null
   }
-  return null
 }
 
 export function hasEmbeddingKey(cfg: any): boolean {