search endpoint

3 files changed, 48 insertions, 3 deletions

diff --git a/apps/cf-ai-backend/src/index.ts b/apps/cf-ai-backend/src/index.ts
index 78e1c596..2c756dcc 100644
--- a/apps/cf-ai-backend/src/index.ts
+++ b/apps/cf-ai-backend/src/index.ts
@@ -171,6 +171,51 @@ app.get(
   },
 );
 
+app.get(
+  "/api/search",
+  zValidator("query", z.object({ query: z.string(), user: z.string() })),
+  async (c) => {
+    const { query, user } = c.req.valid("query");
+    const filter: VectorizeVectorMetadataFilter = {
+      [`user-${user}`]: 1,
+    };
+
+    const { store } = await initQuery(c);
+    const queryAsVector = await store.embeddings.embedQuery(query);
+
+    const resp = await c.env.VECTORIZE_INDEX.query(queryAsVector, {
+      topK: 5,
+      filter,
+      returnMetadata: true,
+    });
+
+    const minScore = Math.min(...resp.matches.map(({ score }) => score));
+    const maxScore = Math.max(...resp.matches.map(({ score }) => score));
+
+    // This entire chat part is basically just a dumb down version of the /api/chat endpoint.
+    const normalizedData = resp.matches.map((data) => ({
+      ...data,
+      normalizedScore:
+        maxScore !== minScore
+          ? 1 + ((data.score - minScore) / (maxScore - minScore)) * 98
+          : 50,
+    }));
+
+    const preparedContext = normalizedData.map(
+      ({ metadata, score, normalizedScore }) => ({
+        context: `Website title: ${metadata!.title}\nDescription: ${metadata!.description}\nURL: ${metadata!.url}\nContent: ${metadata!.text}`,
+        score,
+        normalizedScore,
+      }),
+    );
+
+    return c.json({
+      status: "ok",
+      response: preparedContext,
+    });
+  },
+);
+
 // This is a special endpoint for our "chatbot-only" solutions.
 // It does both - adding content AND chatting with it.
 app.post(
diff --git a/apps/extension/background.ts b/apps/extension/background.ts
index 651ddc73..3ecb26fd 100644
--- a/apps/extension/background.ts
+++ b/apps/extension/background.ts
@@ -13,7 +13,7 @@ const tweetToMd = (tweet: Tweet) => {
 
 const BOOKMARKS_URL = `https://x.com/i/api/graphql/xLjCVTqYWz8CGSprLU349w/Bookmarks?features=${encodeURIComponent(JSON.stringify(features))}`;
 
-const BACKEND_URL = "http://localhost:3000";
+const BACKEND_URL = "https://beta.supermemory.ai";
 
 // This is to prevent going over the rate limit
 let lastTwitterFetch = 0;
diff --git a/apps/web/app/(dash)/menu.tsx b/apps/web/app/(dash)/menu.tsx
index a8ba4172..cc45016e 100644
--- a/apps/web/app/(dash)/menu.tsx
+++ b/apps/web/app/(dash)/menu.tsx
@@ -145,7 +145,7 @@ function Menu() {
                   height={24}
                   className="hover:brightness-125 focus:brightness-125 duration-200 text-white"
                 />
-                <p className="opacity-0 duration-200 group-hover:opacity-100 group-focus-within:opacity-100">
+                <p className="opacity-0 duration-200 group-hover:opacity-100">
                   Add
                 </p>
               </DialogTrigger>
@@ -168,7 +168,7 @@ function Menu() {
                   height={24}
                   className="hover:brightness-125 duration-200"
                 />
-                <p className="opacity-0 duration-200 group-hover:opacity-100 group-focus-within:opacity-100">
+                <p className="opacity-0 duration-200 group-hover:opacity-100">
                   {item.text}
                 </p>
               </Link>