diff --git a/lib/utils/embeddings/embed.ts b/lib/utils/embeddings/embed.ts
index b9894219..698347d9 100644
--- a/lib/utils/embeddings/embed.ts
+++ b/lib/utils/embeddings/embed.ts
@@ -2,9 +2,10 @@ import {OpenAIEmbeddings} from 'langchain/embeddings/openai'
 import {RecursiveCharacterTextSplitter} from 'langchain/text_splitter'
 import {WeaviateStore} from 'langchain/vectorstores/weaviate'
 import {cloneRepo} from './cloneRepo'
-import {type WeaviateConfig} from './db'
 import deleteRepo from './delete'
 import {checkRepoExists} from './exists'
+import {type WeaviateConfig} from './db'
+import { AISummary } from './summary'
 
 export default async function addRepo(
 	weaviateConfig: WeaviateConfig,
@@ -42,16 +43,17 @@ export default async function addRepo(
 			process.env.GITHUB_ACCESS_TOKEN || ''
 		)
 
-		const docs = repo.map(doc => {
+		const docs = await Promise.all(repo.map(async doc => {
 			return {
 				...doc,
 				metadata: {
 					...doc.metadata,
 					userId: weaviateConfig.userId,
+					summary: await AISummary(doc.pageContent),
 					ext: doc.metadata.source.split('.')[1] || ''
 				}
 			}
-		})
+		}))
 
 		const embeddings = new OpenAIEmbeddings({
 			openAIApiKey: process.env.OPENAI_API_KEY
@@ -69,4 +71,4 @@ export default async function addRepo(
 		console.error(e)
 		return
 	}
-}
+}
\ No newline at end of file
diff --git a/lib/utils/embeddings/query.ts b/lib/utils/embeddings/query.ts
index 0343ceda..f5a9cbec 100644
--- a/lib/utils/embeddings/query.ts
+++ b/lib/utils/embeddings/query.ts
@@ -5,6 +5,7 @@ const keys = [
 	'source',
 	'text',
 	'ext',
+	'summary',
 	'repository',
 	'branch',
 	'userId',
diff --git a/lib/utils/embeddings/setup/schema.ts b/lib/utils/embeddings/setup/schema.ts
index 92d9128c..d9b03e80 100644
--- a/lib/utils/embeddings/setup/schema.ts
+++ b/lib/utils/embeddings/setup/schema.ts
@@ -37,6 +37,13 @@ export const schema = {
 			name: 'repository',
 			tokenization: 'word'
 		},
+		{
+			dataType: ['text'],
+			indexFilterable: true,
+			indexSearchable: true,
+			name: 'summary',
+			tokenization: 'word'
+		},
 		{
 			dataType: ['text'],
 			indexFilterable: true,
diff --git a/lib/utils/embeddings/summary.ts b/lib/utils/embeddings/summary.ts
new file mode 100644
index 00000000..7b915ec8
--- /dev/null
+++ b/lib/utils/embeddings/summary.ts
@@ -0,0 +1,19 @@
+import {LLMChain} from 'langchain/chains'
+import {OpenAI} from 'langchain/llms/openai'
+import {PromptTemplate} from 'langchain/prompts'
+
+const prompt = PromptTemplate.fromTemplate(
+	`You are AI that make desc of code snippet. Many keywords, straight to point, 1 line.
+
+    Code:#!/bin/sh\ngroovyc src/*.groovy\ngroovy src/Main.groovy --cp src/
+    AI:Compiles and runs a Groovy program using the source files in the \"src\" directory.
+
+    Code:{code}
+    AI:`
+)
+
+export async function AISummary(code: string, modelName: string = 'gpt-3.5-turbo', temperature: number = 0) {
+	const model = new OpenAI({temperature, modelName})
+	const codeChain = new LLMChain({llm: model, prompt})
+	return await codeChain.call({code})
+}