Communication & Messaging

🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant

Complex

High

Nodes

Complex

Trigger

High

Complexity

7/22/2025

Added

Workflow Overview

Total Nodes

Node Types

document Default Data Loader

Data Loader

1 node

text Splitter Token Splitter

Token Splitter

1 node

vector Store Qdrant

Qdrant Vector Store, Qdrant Vector Store Tool

2 nodes

split In Batches

Loop Over Items

1 node

wait

Wait

1 node

manual Trigger

When clicking ‘Test workflow’

1 node

lm Chat Google Gemini

Google Gemini Chat Model, Google Gemini Chat Model1

2 nodes

merge

Merge, Merge1, Merge2

3 nodes

information Extractor

Extract Meta Data

1 node

extract From File

Get File Contents

1 node

google Drive

Download File From Google Drive, Find File Ids in Google Drive Folder, Google Drive

3 nodes

embeddings Open Ai

text-embeddings-3-large, text-embeddings-3-large1

2 nodes

set

Google Folder ID, Qdrant Collection Name, Respond to User

3 nodes

lm Chat Open Ai

gpt-4o-mini1, OpenAI Chat Model

2 nodes

code

Delete Qdrant Points by File ID

1 node

summarize

File Id List

1 node

sticky Note

Sticky Note, Sticky Note1, Sticky Note2, Sticky Note3, Sticky Note4, Sticky Note5, Sticky Note6, Sticky Note7, Sticky Note8, Sticky Note9, Sticky Note10, Sticky Note11, Sticky Note12, Sticky Note13, Sticky Note14

15 nodes

Confirm Qdrant Delete Points, Send Declined Message, Send Completed Message

3 nodes

1 node

webhook

Webhook

1 node

agent

AI Agent

1 node

memory Buffer Window

Window Buffer Memory

1 node

chat Trigger

When chat message received

1 node

google Docs

Update Chat History

1 node

Workflow JSON

37.97 KB

{
  "id": "8tusZTTtcyaiznEG",
  "meta": {
    "instanceId": "31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef",
    "templateCredsSetupCompleted": true
  },
  "name": "🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant",
  "tags": [],
  "nodes": [
    {
      "id": "7ad5796b-d1a0-4cc1-bed6-105ff499beeb",
      "name": "Data Loader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        620,
        720
      ],
      "parameters": {
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "file_id",
                "value": "={{ $json.id }}"
              },
              {
                "name": "pubkey",
                "value": "={{ $json.name }}"
              },
              {
                "name": "=overarching_theme",
                "value": "={{ $('Extract Meta Data').item.json.output.overarching_theme }}"
              },
            ...

Showing first 1000 characters. Click "Expand" to view the full JSON.