add google analytics (#2053)

Co-authored-by: Alex Yang <himself65@outlook.com>

Author: logan-markewich

apps/next/package.json

@@ -15,16 +15,17 @@
   "dependencies": {
     "@huggingface/transformers": "^3.5.0",
     "@icons-pack/react-simple-icons": "^10.1.0",
-    "@llamaindex/workflow-docs": "0.1.1",
     "@llamaindex/chat-ui-docs": "^0.0.5",
     "@llamaindex/cloud": "workspace:*",
     "@llamaindex/core": "workspace:*",
     "@llamaindex/node-parser": "workspace:*",
     "@llamaindex/openai": "workspace:*",
     "@llamaindex/readers": "workspace:*",
     "@llamaindex/workflow": "workspace:*",
+    "@llamaindex/workflow-docs": "0.1.1",
     "@mdx-js/mdx": "^3.1.0",
     "@monaco-editor/react": "^4.7.0",
+    "@next/third-parties": "^15.3.4",
     "@number-flow/react": "^0.3.4",
     "@radix-ui/react-dialog": "^1.1.2",
     "@radix-ui/react-icons": "^1.3.2",

apps/next/src/app/layout.tsx

@@ -1,5 +1,6 @@
 import { AIProvider } from "@/actions";
 import { TooltipProvider } from "@/components/ui/tooltip";
+import { GoogleAnalytics } from "@next/third-parties/google";
 import { RootProvider } from "fumadocs-ui/provider";
 import { Inter } from "next/font/google";
 import type { ReactNode } from "react";
@@ -39,6 +40,7 @@ export default function Layout({ children }: { children: ReactNode }) {
           </AIProvider>
         </TooltipProvider>
       </body>
+      <GoogleAnalytics gaId="G-NB9B8LW9W5" />
     </html>
   );
 }

apps/next/src/content/docs/llamaindex/modules/data/memory/index.mdx

@@ -53,7 +53,7 @@ console.log("Response:", result.data.result);
 
 You can also put messages in Vercel format directly to the memory:
 
-```ts twoslash
+```ts
 await memory.add({
   id: "1",
   createdAt: new Date(),
@@ -73,7 +73,7 @@ await memory.add({
 
 If you call `get`, messages are usually retrieved in the LlamaIndexTS format (type `ChatMessage`). If you specify the `type` parameter using `get`, you can return the messages in different formats. E.g.: using `type: "vercel"`, you can return the messages in Vercel format:
 
-```ts twoslash
+```ts
 const messages = await memory.get({ type: "vercel" });
 console.log(messages);
 ```
@@ -95,7 +95,7 @@ For initialization, you call `createMemory` with the following options:
 
 Example:
 
-```ts twoslash
+```ts
 const memory = createMemory({
     tokenLimit=40000,
     shortTermTokenLimitRatio=0.5,
@@ -113,7 +113,7 @@ Currently, there are two predefined memory blocks:
 
 This sounds a bit complicated, but it's actually quite simple. Let's look at an example:
 
-```ts twoslash
+```ts
 import { createMemory, factExtractionBlock, staticBlock } from "llamaindex";
 
 const memoryBlocks= [
@@ -142,7 +142,7 @@ You'll also notice that we've set the `priority` for the `factExtractionBlock` b
 
 Now, let's pass these blocks into the `createMemory` function:
 
-```ts twoslash
+```ts
 const memory = createMemory({
   tokenLimit: 40000,
   memoryBlocks: memoryBlocks,