diff --git a/baseai/memory/docs/index.ts b/baseai/memory/docs/index.ts
index 1d9112e0a..ab36814ca 100644
--- a/baseai/memory/docs/index.ts
+++ b/baseai/memory/docs/index.ts
@@ -7,7 +7,7 @@ const memoryDocs = (): MemoryI => ({
 		enabled: true,
 		include: ['**/*.mdx'],
 		gitignore: true,
-		deployedAt: '39f2778ad2dce348bb762a85f765c21453cec4fe',
+		deployedAt: 'dd4e4714696856a7160aded10308b08304ca3739',
 		embeddedAt: ''
 	},
 	documents: {
diff --git a/docs-chatbot.md b/docs-chatbot.md
new file mode 100644
index 000000000..f36e0730e
--- /dev/null
+++ b/docs-chatbot.md
@@ -0,0 +1,11 @@
+# How we use Docs Chatbot?
+
+Contact the docs team for any more questions on this.
+
+## To sync all the latest docs changes in the `main` branch check out to the `main` branch and run
+
+```sh
+pnpm langbase-sync
+```
+
+This will verify all the changes since the last sync, update these files, and then write the commit hash to `baseai/memory/docs/index.ts` file which you should commit to keep track.
diff --git a/src/app/api/chat/route.relevancy.ts b/src/app/api/chat/route.relevancy.ts
new file mode 100644
index 000000000..73e6bcff2
--- /dev/null
+++ b/src/app/api/chat/route.relevancy.ts
@@ -0,0 +1,111 @@
+import { Langbase } from 'langbase';
+import { NextRequest } from 'next/server';
+
+const apiKey = process.env.LANGBASE_API_KEY!;
+
+const langbase = new Langbase({
+	apiKey
+});
+
+export async function POST(req: NextRequest) {
+	const options = await req.json();
+
+	// Check if relevant
+	let parsedResponse;
+	let attempts = 0;
+	const maxAttempts = 5;
+
+	while (attempts < maxAttempts) {
+		try {
+			const router = await langbase.pipe.run({
+				...options,
+				name: 'agent-router-related-to-sourcegraph',
+				stream: false,
+				variables: [{ name: 'userQuery', value: options.messages[0].content }],
+			});
+
+			// @ts-expect-error — TODO: Fix by reporting to Langbase
+			parsedResponse = JSON.parse(router.completion);
+			break;
+		} catch (error) {
+			attempts++;
+			if (attempts === maxAttempts) {
+				return new Response(JSON.stringify({ error: "Service not working at the moment. Please refresh and try again." }), {
+					status: 500,
+					headers: {
+						'Content-Type': 'application/json'
+					}
+				});
+			}
+		}
+	}
+
+	// console.log("🚀 ~ parsedResponse:", parsedResponse)
+
+
+	// If not relevant, return a stream mimicking Langbase's structure
+	if (!parsedResponse.relevant) {
+
+		// console.log("🚀 Asking non relevant agent")
+
+		// Ask not relevant questions from agent ask-sourcegraph-docs-unrelated-queries
+		const { stream, threadId } = await langbase.pipe.run({
+			...options,
+			name: 'ask-sourcegraph-docs-unrelated-queries'
+		});
+
+		return new Response(stream, {
+			status: 200,
+			headers: {
+				'lb-thread-id': threadId ?? ''
+			}
+		});
+
+	}
+
+	// Handle relevant question
+	// console.log("🚀 Asking relevant agent")
+
+	const { stream, threadId } = await langbase.pipe.run({
+		...options,
+		name: 'ask-sourcegraph-docs'
+	});
+
+	return new Response(stream, {
+		status: 200,
+		headers: {
+			'lb-thread-id': threadId ?? ''
+		}
+	});
+}
+
+
+
+
+// Pretend answer is not relevant.
+// const encoder = new TextEncoder();
+// const stream = new ReadableStream({
+//   start(controller) {
+//     const chunk = {
+//       id: `cmpl-${Math.random().toString(36).substr(2, 10)}`,
+//       object: 'chat.completion.chunk' as const,
+//       created: Math.floor(Date.now() / 1000),
+//       model: 'gpt-3.5-turbo',
+//       choices: [{
+//         index: 0,
+//         delta: { content: 'Please ask a relevant question to Sourcegraph.' },
+//         logprobs: null,
+//         finish_reason: 'stop'
+//       }]
+//     };
+//     controller.enqueue(encoder.encode(JSON.stringify(chunk)));
+//     controller.close();
+//   }
+// });
+
+// return new Response(stream, {
+//   status: 200,
+//   headers: {
+//     // Omit 'Content-Type' to allow stream processing
+//   }
+// });
diff --git a/src/app/api/chat/route.ts b/src/app/api/chat/route.ts
index 73e6bcff2..3cffd3dcf 100644
--- a/src/app/api/chat/route.ts
+++ b/src/app/api/chat/route.ts
@@ -10,62 +10,6 @@ const langbase = new Langbase({
 export async function POST(req: NextRequest) {
 	const options = await req.json();
 
-	// Check if relevant
-	let parsedResponse;
-	let attempts = 0;
-	const maxAttempts = 5;
-
-	while (attempts < maxAttempts) {
-		try {
-			const router = await langbase.pipe.run({
-				...options,
-				name: 'agent-router-related-to-sourcegraph',
-				stream: false,
-				variables: [{ name: 'userQuery', value: options.messages[0].content }],
-			});
-
-			// @ts-expect-error — TODO: Fix by reporting to Langbase
-			parsedResponse = JSON.parse(router.completion);
-			break;
-		} catch (error) {
-			attempts++;
-			if (attempts === maxAttempts) {
-				return new Response(JSON.stringify({ error: "Service not working at the moment. Please refresh and try again." }), {
-					status: 500,
-					headers: {
-						'Content-Type': 'application/json'
-					}
-				});
-			}
-		}
-	}
-
-	// console.log("🚀 ~ parsedResponse:", parsedResponse)
-
-
-	// If not relevant, return a stream mimicking Langbase's structure
-	if (!parsedResponse.relevant) {
-
-		// console.log("🚀 Asking non relevant agent")
-
-		// Ask not relevant questions from agent ask-sourcegraph-docs-unrelated-queries
-		const { stream, threadId } = await langbase.pipe.run({
-			...options,
-			name: 'ask-sourcegraph-docs-unrelated-queries'
-		});
-
-		return new Response(stream, {
-			status: 200,
-			headers: {
-				'lb-thread-id': threadId ?? ''
-			}
-		});
-
-	}
-
-	// Handle relevant question
-	// console.log("🚀 Asking relevant agent")
-
 	const { stream, threadId } = await langbase.pipe.run({
 		...options,
 		name: 'ask-sourcegraph-docs'
@@ -78,34 +22,3 @@ export async function POST(req: NextRequest) {
 		}
 	});
 }
-
-
-
-
-// Pretend answer is not relevant.
-// const encoder = new TextEncoder();
-// const stream = new ReadableStream({
-//   start(controller) {
-//     const chunk = {
-//       id: `cmpl-${Math.random().toString(36).substr(2, 10)}`,
-//       object: 'chat.completion.chunk' as const,
-//       created: Math.floor(Date.now() / 1000),
-//       model: 'gpt-3.5-turbo',
-//       choices: [{
-//         index: 0,
-//         delta: { content: 'Please ask a relevant question to Sourcegraph.' },
-//         logprobs: null,
-//         finish_reason: 'stop'
-//       }]
-//     };
-//     controller.enqueue(encoder.encode(JSON.stringify(chunk)));
-//     controller.close();
-//   }
-// });
-
-// return new Response(stream, {
-//   status: 200,
-//   headers: {
-//     // Omit 'Content-Type' to allow stream processing
-//   }
-// });