diff --git a/backend/route.ts b/backend/route.ts
index 744cb8f..b523b0b 100644
--- a/backend/route.ts
+++ b/backend/route.ts
@@ -1,21 +1,21 @@
 import { Express } from "express";
-//import { completeGoogle } from "search-engine-autocomplete";
+import { completeGoogle } from "@alikia/search-complete";
 
 export function configureBackendRoutes(app: Express) {
-	// app.get("/api/v1/suggestion", async (req, res) => {
-	// 	const query = req.query.q as string;
-	// 	const t = parseInt((req.query.t as string) || "0") || null;
-	// 	let language = (req.query.l as string) || "en-US";
+	app.get("/api/v1/suggestion", async (req, res) => {
+		const query = req.query.q as string;
+		const t = parseInt((req.query.t as string) || "0") || null;
+		let language = (req.query.l as string) || "en-US";
 
-	// 	try {
-	// 		const data = await completeGoogle(query, language);
-	// 		//logger.info({ type: "onesearch_search_autocomplete", query: query, data: data });
-	// 		res.json({ ...data, time: t });
-	// 	} catch (error) {
-	// 		//logger.error({ type: "onesearch_search_autocomplete_error", error: error.message });
-	// 		res.status(500).json({ error: "Internal Server Error" });
-	// 	}
-	// });
+		try {
+			const data = await completeGoogle(query, language);
+			// logger.info({ type: "onesearch_search_autocomplete", query: query, data: data });
+			res.json({ ...data, time: t });
+		} catch (error) {
+			// logger.error({ type: "onesearch_search_autocomplete_error", error: error.message });
+			res.status(500).json({ error: "Internal Server Error" });
+		}
+	});
 	app.get("/api/v1/ping", async (_, res) => {
 		res.status(200).json({ message: "pong" });
 	});
diff --git a/bun.lockb b/bun.lockb
index 07100a0..823f6fb 100755
Binary files a/bun.lockb and b/bun.lockb differ
diff --git a/components/onesearch/onesearch.tsx b/components/onesearch/onesearch.tsx
index daccf96..14b09be 100644
--- a/components/onesearch/onesearch.tsx
+++ b/components/onesearch/onesearch.tsx
@@ -10,7 +10,7 @@ import LinkSuggestion from "./link";
 import { selectedSuggestionAtom } from "lib/state/suggestionSelection";
 import { settingsAtom } from "lib/state/settings";
 import PlainText from "./plainText";
-import { sendError } from "lib/telemetering/sendError";
+import { sendError } from "lib/feedback/sendError";
 import { handleNLUResult } from "./handleNLUResult";
 import * as ort from "onnxruntime-web";
 import { useAtom, useAtomValue } from "jotai";
diff --git a/lib/telemetering/sendError.ts b/lib/feedback/sendError.ts
similarity index 100%
rename from lib/telemetering/sendError.ts
rename to lib/feedback/sendError.ts
diff --git a/lib/nlp/data/en.json b/lib/nlp/data/en.json
deleted file mode 100644
index fe21e9c..0000000
--- a/lib/nlp/data/en.json
+++ /dev/null
@@ -1,141 +0,0 @@
-{
-	"weather.summary": [
-		"how's the weather",
-		"What's going on with the weather?",
-		"Can you give me an update on the weather?",
-		"How's the forecast looking today?",
-		"Give me a summary of the current weather.",
-		"Can you tell me the current weather?",
-		"What is the weather situation at the moment?",
-		"Could you provide a quick weather update?",
-		"Is it raining or sunny outside?",
-		"What's the weather like right now?",
-		"Tell me the current weather conditions.",
-		"How about the weather today?",
-		"Is it a good day to be outside?",
-		"What should I expect in terms of weather today?",
-		"Is there any severe weather to be aware of?",
-		"Can you summarize today's weather forecast?",
-		"What's the weather looking like for the next few hours?",
-		"Is it going to stay this way all day?",
-		"Could you give me a brief overview of the weather?",
-		"What's the general weather situation in our area?",
-		"Is it cloudy or clear outside?",
-		"Any weather alerts I should know about?",
-		"How's the weather looking for outdoor activities?",
-		"What's the forecast saying for today's weather?",
-		"Is it going to be a warm day?",
-		"Are we expecting any storms today?",
-		"What's the weather condition outside my window?",
-		"Is it a typical day for this season in terms of weather?",
-		"how's the weather now?"
-	],
-
-	"weather.temp": [
-		"What's the temperature like right now?",
-		"Can you tell me the current temperature?",
-		"How hot is it outside?",
-		"What's the temperature supposed to be today?",
-		"What is the current temp outside?",
-		"Could you tell me the outdoor temperature?",
-		"Is it cold or warm outside?",
-		"What's the high temperature for today?",
-		"What's the low temperature expected tonight?",
-		"How does the temperature feel outside?",
-		"Is it going to get warmer or cooler today?",
-		"What's the temperature in the shade?",
-		"Can you provide the current temp in Celsius?",
-		"What's the temperature in Fahrenheit right now?",
-		"Is it too hot to be outside?",
-		"What's the temperature like in the morning?",
-		"How about the temperature in the evening?",
-		"Is it warm enough to go swimming?",
-		"What's the temperature in the city center?",
-		"Can you tell me the temp in the nearby area?",
-		"Is it below freezing outside?",
-		"What's the average temperature for today?",
-		"Is the temperature dropping or rising?",
-		"What should I wear considering the temperature?"
-	],
-
-	"base64.encode": [
-		"Please encode this data with base64: %s",
-		"I need to encode the following data in base64: %s",
-		"Could you encode this string using base64? %s",
-		"Convert this data to b64 encoding: %s",
-		"I want to encode this information with base64: %s",
-		"Help me encode this in base64: %s",
-		"Can you encode this data to base64 format? %s",
-		"b64 encode",
-		"base64 encode",
-		"encode base64 %s"
-	],
-
-	"base64.decode": [
-		"Please decode this base64 data: %s",
-		"I have a base64 encoded string that needs decoding: %s",
-		"Could you decode this base64 string for me? %s",
-		"Convert this base64 encoded data back to its original form: %s",
-		"I need to decode this base64 information: %s",
-		"Help me decode this base64 data: %s",
-		"Can you translate this base64 back to normal text? %s",
-		"b64 decode",
-		"base64 decode",
-		"decode base64 %s"
-	],
-
-	"url.encode": [
-		"Please encode this URL: %s",
-		"I need to encode this URL component: %s",
-		"Could you encode this part of the URL? %s",
-		"Convert this URL to its encoded form: %s",
-		"I want to encode this URL for safe transmission: %s",
-		"Help me encode this URL segment: %s",
-		"Can you encode this URL data? %s"
-	],
-
-	"url.decode": [
-		"Please decode this URL: %s",
-		"I have an encoded URL that needs decoding: %s",
-		"Could you decode this URL for me? %s",
-		"Convert this encoded URL back to its original form: %s",
-		"I need to decode this URL component: %s",
-		"Help me decode this URL segment: %s",
-		"Can you translate this encoded URL back to normal? %s"
-	],
-
-	"html.encode": [
-		"Please encode this HTML entity: %s",
-		"I need to encode this text to HTML entity: %s",
-		"Could you encode this as an HTML entity? %s",
-		"Convert this text to HTML entity encoding: %s",
-		"I want to encode this to prevent HTML interpretation: %s",
-		"Help me encode this into HTML entity: %s",
-		"Can you encode this for HTML usage? %s"
-	],
-
-	"html.decode": [
-		"Please decode this HTML entity: %s",
-		"I have an HTML entity that needs decoding: %s",
-		"Could you decode this HTML entity for me? %s",
-		"Convert this HTML entity back to its original text: %s",
-		"I need to decode this HTML entity to plain text: %s",
-		"Help me decode this HTML entity: %s",
-		"Can you translate this HTML entity back to normal text? %s"
-	],
-
-	"ai.command": [
-		"write a typescript helloworld code",
-		"Check the following content for grammar and clarity",
-		"Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option.",
-		"Improve this markdown content in asepcts like grammar and expression, for a GitHub repo README.",
-		"can u think of a short name of my package",
-		"simplify this code"
-	],
-
-	"ai.answer": [
-		"Which framework do you think is the most suitable for performance sensitive projects?"
-	],
-
-	"None": ["free weather api", "js get timezone", "how", "how's", "how's the"]
-}
diff --git a/lib/nlp/data/zh.json b/lib/nlp/data/zh.json
deleted file mode 100644
index 5bb1c0c..0000000
--- a/lib/nlp/data/zh.json
+++ /dev/null
@@ -1,121 +0,0 @@
-{
-	"weather.summary": [
-		"天气如何",
-		"现在的天气",
-		"今天的天气预报",
-		"现在的天气状况",
-		"今天天气怎么样",
-		"目前是什么天气",
-		"今天的天气概述",
-		"当前天气状况如何",
-		"今天会下雨吗",
-		"今天会下雪吗",
-		"今天晴天吗",
-		"今天的天气状况如何",
-		"现在外面是什么天气",
-		"今天天气好么",
-		"今天适合外出吗",
-		"今天的天气适宜做什么",
-		"今天有没有雾霾",
-		"今天的空气质量如何",
-		"今天的紫外线指数是多少",
-		"今天有没有大风",
-		"今天会不会很冷",
-		"今天的天气会变化吗",
-		"今天晚上的天气如何",
-		"今天夜里会下雨吗",
-		"今天的天气对出行有影响吗",
-		"今天的天气对运动有影响吗",
-		"今天的天气对工作有影响吗",
-		"今天的天气对旅游有影响吗",
-		"今天的天气对健康有影响吗"
-	],
-	"weather.temp": [
-		"现在的温度",
-		"现在多少度",
-		"外面有多热",
-		"明天热不热？",
-		"现在的气温是多少",
-		"今天最高温度是多少",
-		"今天最低温度是多少",
-		"现在外面感觉冷吗",
-		"现在需要穿外套吗",
-		"现在适合穿短袖吗",
-		"现在的温度适合外出吗",
-		"现在的温度适合运动吗",
-		"现在的温度适合睡觉吗",
-		"明天会比今天热吗",
-		"明天会比今天冷吗",
-		"今天的温度变化大吗",
-		"现在的温度适合开空调吗",
-		"现在的温度适合开暖气吗",
-		"室外的温度是多少",
-		"室内的温度是多少",
-		"现在的温度适合种植吗",
-		"现在的温度适合养宠物吗",
-		"现在的温度对健康有影响吗",
-		"现在的温度是否舒适",
-		"现在的温度是否适合工作"
-	],
-	"base64.encode": [
-		"请将数据使用base64编码：%s",
-		"需要将以下数据base64编码：%s",
-		"请将此字符串转为base64：%s",
-		"将数据转为base64编码：%s",
-		"信息base64编码：%s",
-		"请帮忙编码base64：%s",
-		"将数据编码为base64：%s"
-	],
-
-	"base64.decode": [
-		"请解码这个base64数据：%s",
-		"有base64编码字符串需要解码：%s",
-		"帮忙解码base64：%s",
-		"将base64编码转回原数据：%s",
-		"解码base64信息：%s",
-		"解码这个base64：%s",
-		"将base64转文本：%s"
-	],
-
-	"url.encode": [
-		"请编码这个URL：%s",
-		"URL部分需要编码：%s",
-		"请将URL部分编码：%s",
-		"URL编码转换：%s",
-		"安全传输需编码URL：%s",
-		"编码URL段：%s",
-		"URL数据编码：%s"
-	],
-
-	"url.decode": [
-		"请解码这个URL：%s",
-		"有URL编码需要解码：%s",
-		"解码这个URL：%s",
-		"URL编码转回原URL：%s",
-		"解码URL部分：%s",
-		"解码URL段：%s",
-		"URL编码转文本：%s"
-	],
-
-	"html.encode": [
-		"请编码HTML实体：%s",
-		"文本转为HTML实体：%s",
-		"编码为HTML实体：%s",
-		"文本HTML实体编码：%s",
-		"预防HTML解析编码：%s",
-		"HTML实体编码：%s",
-		"文本HTML使用编码：%s"
-	],
-
-	"html.decode": [
-		"请解码HTML实体：%s",
-		"HTML实体需要解码：%s",
-		"解码HTML实体：%s",
-		"HTML实体转回文本：%s",
-		"HTML实体解码：%s",
-		"解码HTML实体：%s",
-		"HTML实体转文本：%s"
-	],
-
-	"None": ["你好", "为什么计算机使用二进制", "什么是", "热", "怎么"]
-}
diff --git a/lib/nlp/load.ts b/lib/nlp/load.ts
deleted file mode 100644
index c39670e..0000000
--- a/lib/nlp/load.ts
+++ /dev/null
@@ -1,55 +0,0 @@
-// @ts-ignore
-import { containerBootstrap } from "@nlpjs/core";
-// @ts-ignore
-import { Nlp } from "@nlpjs/nlp";
-// @ts-ignore
-import { NluManager, NluNeural } from "@nlpjs/nlu";
-// @ts-ignore
-import { LangEn } from "@nlpjs/lang-en-min";
-// @ts-ignore
-import { LangZh } from "@nlpjs/lang-zh";
-import * as fflate from "fflate";
-
-export interface NLUType {
-	manager: any;
-	inited: boolean;
-	loadIntentionModel(): Promise<void>;
-	init(): Promise<this>;
-	process(lang: string, text: string): Promise<any>;
-}
-
-export class NLU {
-	manager: any;
-	inited: boolean = false;
-	async loadIntentionModel() {
-		const container = await containerBootstrap();
-		container.use(Nlp);
-		container.use(LangEn);
-		container.use(LangZh);
-		container.use(NluNeural);
-		const manager = new NluManager({
-			container,
-			locales: ["en", "zh"],
-			nlu: {
-				useNoneFeature: true
-			}
-		});
-		const response = await fetch("/model");
-
-		const responseBuf = await response.arrayBuffer();
-		const compressed = new Uint8Array(responseBuf);
-		const decompressed = fflate.decompressSync(compressed);
-		const modelText = fflate.strFromU8(decompressed);
-		manager.fromJSON(JSON.parse(modelText));
-		this.manager = manager;
-	}
-	async init() {
-		await this.loadIntentionModel();
-		this.inited = true;
-		return this;
-	}
-	async process(lang: string, text: string): Promise<any> {
-		const actual = await this.manager.process(lang, text);
-		return actual;
-	}
-}
diff --git a/lib/nlp/train.ts b/lib/nlp/train.ts
deleted file mode 100644
index 1988b58..0000000
--- a/lib/nlp/train.ts
+++ /dev/null
@@ -1,71 +0,0 @@
-// @ts-ignore
-import { containerBootstrap } from "@nlpjs/core";
-// @ts-ignore
-import { Nlp } from "@nlpjs/nlp";
-// @ts-ignore
-import { NluManager, NluNeural } from "@nlpjs/nlu";
-// @ts-ignore
-import { LangEn } from "@nlpjs/lang-en-min";
-// @ts-ignore
-import { LangZh } from "@nlpjs/lang-zh";
-import fs from "node:fs";
-import * as fflate from "fflate";
-
-let zh: TrainData = {};
-let en: TrainData = {};
-
-type TrainData = {
-	[key: string]: string[];
-};
-
-export async function trainIntentionModel() {
-	try {
-		const dataZH = fs.readFileSync("./lib/nlp/data/zh.json", "utf8");
-		const dataEN = fs.readFileSync("./lib/nlp/data/en.json", "utf8");
-		zh = JSON.parse(dataZH);
-		en = JSON.parse(dataEN);
-	} catch (err) {
-		console.error(err);
-	}
-
-	const container = await containerBootstrap();
-	container.use(Nlp);
-	container.use(LangEn);
-	container.use(LangZh);
-	container.use(NluNeural);
-	const manager = new NluManager({
-		container,
-		locales: ["en", "zh"],
-		nlu: {
-			useNoneFeature: true
-		}
-	});
-	// Adds the utterances and intents for the NLP
-
-	for (const key in zh) {
-		for (const value of zh[key]) {
-			manager.add("zh", value, key);
-		}
-	}
-
-	for (const key in en) {
-		for (const value of en[key]) {
-			manager.add("en", value, key);
-		}
-	}
-
-	await manager.train();
-
-	const resultModel = manager.toJSON();
-
-	const buf = fflate.strToU8(JSON.stringify(resultModel));
-
-	const gzipped = fflate.gzipSync(buf, {
-		filename: "model.json",
-		mtime: new Date().getTime()
-	});
-
-	fs.writeFileSync("./public/model", Buffer.from(gzipped));
-}
-
-trainIntentionModel();
diff --git a/package.json b/package.json
index 138790d..194d1e8 100644
--- a/package.json
+++ b/package.json
@@ -12,6 +12,7 @@
 		"format": "prettier --write ."
 	},
 	"dependencies": {
+		"@alikia/search-complete": "^0.4.4",
 		"@iconify/react": "^5.0.1",
 		"@nextui-org/react": "^2.4.2",
 		"@types/bun": "^1.1.6",