diff --git a/depot.json b/depot.json
new file mode 100644
index 0000000000..75167fca4e
--- /dev/null
+++ b/depot.json
@@ -0,0 +1 @@
+{"id":"du7O4b0e8P"}
diff --git a/packages/backend/src/app/chatbot/embedings/embedings-settings.ts b/packages/backend/src/app/chatbot/embedings/embedings-settings.ts
new file mode 100644
index 0000000000..56b592b84a
--- /dev/null
+++ b/packages/backend/src/app/chatbot/embedings/embedings-settings.ts
@@ -0,0 +1,2 @@
+
+export const EMBEDINGS_SEARCH_RESULT = 3;
diff --git a/packages/backend/src/app/chatbot/embedings/fais-embeddings.ts b/packages/backend/src/app/chatbot/embedings/fais-embeddings.ts
index a88117f201..ec00d90f19 100644
--- a/packages/backend/src/app/chatbot/embedings/fais-embeddings.ts
+++ b/packages/backend/src/app/chatbot/embedings/fais-embeddings.ts
@@ -5,6 +5,7 @@ import path from 'path'
 import os from 'os'
 import fs from 'fs/promises'
 import { localFileStore } from '../../helper/store'
+import { EMBEDINGS_SEARCH_RESULT } from './embedings-settings'
 
 const storeCache: Record<string, FaissStore> = {}
 
@@ -42,7 +43,7 @@ export const faissEmbedding = ({ openAIApiKey, botId }: { botId: string, openAIA
         if (store.docstore._docs.size === 0) {
             return []
         }
-        const similarDocuments = await store.similaritySearch(input, 5, botId)
+        const similarDocuments = await store.similaritySearch(input, EMBEDINGS_SEARCH_RESULT, botId)
         return similarDocuments.map((doc) => doc.pageContent)
     },
     async addDocuments({
diff --git a/packages/backend/src/app/chatbot/framework/datasource.ts b/packages/backend/src/app/chatbot/framework/datasource.ts
index 78c17bfd73..dbf3b11f16 100644
--- a/packages/backend/src/app/chatbot/framework/datasource.ts
+++ b/packages/backend/src/app/chatbot/framework/datasource.ts
@@ -8,7 +8,9 @@ export const datasources = {
     }): Promise<Document[]> {
         const blob = new Blob([buffer])
         const pdfLoader = new PDFLoader(blob, { splitPages: true })
-        const splitter = new RecursiveCharacterTextSplitter({})
+        const splitter = new RecursiveCharacterTextSplitter({
+            chunkSize: 1300,
+        })
         const documents = await pdfLoader.loadAndSplit(splitter)
         return documents
     },