diff --git a/packages/api/src/db/queries.ts b/packages/api/src/db/queries.ts
index c507ce9..9f4ca92 100644
--- a/packages/api/src/db/queries.ts
+++ b/packages/api/src/db/queries.ts
@@ -28,7 +28,7 @@ export async function searchTransceivers(params: SearchParams) {
   let idx = 1;
 
   if (params.q) {
-    conditions.push(`search_vector @@ plainto_tsquery('english', $${idx})`);
+    conditions.push(`(search_vector @@ plainto_tsquery('english', $${idx}) OR t.part_number ILIKE '%' || $${idx} || '%' OR t.standard_name ILIKE '%' || $${idx} || '%')`);
     values.push(params.q);
     idx++;
   }
@@ -98,8 +98,8 @@ export async function searchTransceivers(params: SearchParams) {
 
   // Add relevance ranking when full-text search is used
   const orderBy = params.q
-    ? `ORDER BY ts_rank(search_vector, plainto_tsquery('english', $1)) DESC`
-    : `ORDER BY speed_gbps DESC, reach_meters ASC`;
+    ? `ORDER BY (t.part_number ILIKE $1) DESC, ts_rank(search_vector, plainto_tsquery('english', $1)) DESC, fully_verified DESC NULLS LAST, has_image DESC NULLS LAST`
+    : `ORDER BY fully_verified DESC NULLS LAST, has_image DESC NULLS LAST, speed_gbps DESC NULLS LAST, reach_meters ASC NULLS LAST`;
 
   const query = `
     SELECT t.*, v.name as vendor_name
diff --git a/packages/api/src/routes/search.ts b/packages/api/src/routes/search.ts
index 3a1caf6..741340a 100644
--- a/packages/api/src/routes/search.ts
+++ b/packages/api/src/routes/search.ts
@@ -8,6 +8,7 @@
  */
 import { Router, Request, Response } from "express";
 import { semanticSearch, getCollectionInfo, CollectionName } from "../embeddings/client";
+import { searchTransceivers } from "../db/queries";
 
 export const searchRouter = Router();
 
@@ -43,11 +44,20 @@ searchRouter.get("/", async (req: Request, res: Response) => {
   }
 
   try {
-    const results = await semanticSearch(collection, query, limit);
+    let results: any[];
+    let usedFallback = false;
+    if (collection === "product_embeddings") {
+      const fts = await searchTransceivers({ q: query, limit });
+      results = (((fts as any).data) || []).map((t: any) => ({ id: t.id, score: 0.5, payload: t }));
+      usedFallback = true;
+    } else {
+      results = await semanticSearch(collection, query, limit);
+    }
     res.json({
       success: true,
       query,
       collection,
+      fallback: usedFallback ? "fts" : undefined,
       results: results.map((r) => ({
         id: r.id,
         score: Math.round(r.score * 1000) / 1000,
@@ -56,6 +66,14 @@ searchRouter.get("/", async (req: Request, res: Response) => {
       count: results.length,
     });
   } catch (err) {
+    if (collection === "product_embeddings") {
+      try {
+        const fts = await searchTransceivers({ q: query, limit });
+        const results = (((fts as any).data) || []).map((t: any) => ({ id: t.id, score: 0.5, ...t }));
+        res.json({ success: true, query, collection, fallback: "fts", results, count: results.length });
+        return;
+      } catch (e2) { /* fall through */ }
+    }
     res.status(503).json({
       success: false,
       error: "Vector search unavailable",