Personal portfolio CV Rag chatbot - with conversation store and email summary

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Personal Portfolio CV Rag Chatbot with Conversation Store and Email Summary Target Audience This template is perfect for: Individuals looking to create a working professional and interactive person...

Best for

Personal Productivity automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.embeddingsgooglegemini, n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.googledrivetrigger, n8n-nodes-base.googledrive, @n8n/n8n-nodes-langchain.vectorstorepinecone, @n8n/n8n-nodes-langchain.documentdefaultdataloader

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Sean Lon.

Original n8n.io source

1.1 Workflow description

Title: Personal portfolio CV Rag chatbot - with conversation store and email summary
Workflow name: Personal portfolio CV Rag chatbot - with conversation store and email summary

Personal Portfolio CV Rag Chatbot - with Conversation Store and Email Summary

Target Audience

This template is perfect for:

Individuals looking to create a working professional and interactive personal portfolio chatbot.

Developers interested in integrating RAG Chatbot functionality with conversation storage.

1. Description

Create a stunning Personal Portfolio CV with integrated RAG Chatbot capabilities, including conversation storage and daily email summaries.

2.Features:

Training: Setup Ingestion stage

Upload your CV to Google Drive and let the Drive trigger updates to read your resume cv and convert it into your vector database (RAG purpose). Modify any parts as needed.

Chat & Track:

Use any frontend/backend interface to call the chat API and chat history API.

Reporting Daily Chat Conversations:

Receive daily automatic summaries of chat conversations. Data stored via NocoDB.

3.Setup Guide:

Step-by-Step Instructions:

Ensure all credentials are ready. Follow the notes provided.

Ingestion: Upload your CV to Google Drive. The Drive triggers RAG update in your vector database. You can change the folder name, files and indexname of the vector database accordingly.
Chat: Use any frontend/backend interface to call the chat API (refer to the notes for details) .

[optional] Use any frontend/backend interface to call the update chat history API (refer to the notes for details).

3.Tracking Chat:

Get daily automatic summaries of chat conversations.Format email conversations report as you like.

You are ready to go!

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Embeddings Google Gemini

Type / Role: @n8n/n8n-nodes-langchain.embeddingsGoogleGemini - embeddingsGoogleGemini
Config choices: Version 1

Block 2 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Schedule Trigger

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.2

Block 5 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note7

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Sticky Note8

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Sticky Note9

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 13 - Google Drive - Resume CV File Created

Type / Role: n8n-nodes-base.googleDriveTrigger - googleDriveTrigger
Config choices: Version 1

Block 14 - Google Drive - Resume CV File Updated

Type / Role: n8n-nodes-base.googleDriveTrigger - googleDriveTrigger
Config choices: Version 1

Block 15 - Download CV File From Google Drive

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 16 - Pinecone - Vector Store forr CV Content

Type / Role: @n8n/n8n-nodes-langchain.vectorStorePinecone - vectorStorePinecone
Config choices: Version 1

Block 17 - CV File Data Loader

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1

Block 18 - CV content - Recursive Character Text Splitter

Type / Role: @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - textSplitterRecursiveCharacterTextSplitter
Config choices: Version 1

Block 19 - Chat API - webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 20 - Personal CV AI Agent Assistant

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 21 - Chat API Response - Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.1

Block 22 - Chat Memory - Window Buffer

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 23 - Resume lookup : Vector Store Tool

Type / Role: @n8n/n8n-nodes-langchain.toolVectorStore - toolVectorStore
Config choices: Version 1

Block 24 - Resume Vector Store (Retrieval)

Type / Role: @n8n/n8n-nodes-langchain.vectorStorePinecone - vectorStorePinecone
Config choices: Version 1

Showing the first 24 of 35 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Personal portfolio CV Rag chatbot - with conversation store and email summary
Complexity	advanced
Nodes	35
Categories	Personal Productivity, AI RAG
Author	Sean Lon
Published	23 Feb 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2987/2987.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Personal Productivity workflows AI RAG workflows

Frequently asked questions

What does Personal portfolio CV Rag chatbot - with conversation store and email summary do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI RAG use case.

Sean Lon

5 workflows

Nodes

@n8n/n8n-nodes-langchain.embeddingsgooglegemini n8n-nodes-base.stickynote n8n-nodes-base.scheduletrigger @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.googledrivetrigger n8n-nodes-base.googledrive @n8n/n8n-nodes-langchain.vectorstorepinecone @n8n/n8n-nodes-langchain.documentdefaultdataloader

Complexity

advanced

Published 23 Feb 2025

Likes 0

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Install path: /data/workflows/2987/2987.json

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Personal portfolio CV Rag chatbot - with conversation store and email summary

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Personal Portfolio CV Rag Chatbot - with Conversation Store and Email Summary

Target Audience

1. Description

2.Features:

Training: Setup Ingestion stage

Chat & Track:

Reporting Daily Chat Conversations:

3.Setup Guide:

Step-by-Step Instructions:

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Embeddings Google Gemini

Block 2 - Sticky Note1

Block 3 - Sticky Note3

Block 4 - Schedule Trigger

Block 5 - Sticky Note4

Block 6 - Sticky Note5

Block 7 - Sticky Note

Block 8 - Sticky Note6

Block 9 - Sticky Note7

Block 10 - Sticky Note8

Block 11 - Sticky Note9

Block 12 - Google Gemini Chat Model

Block 13 - Google Drive - Resume CV File Created

Block 14 - Google Drive - Resume CV File Updated

Block 15 - Download CV File From Google Drive

Block 16 - Pinecone - Vector Store forr CV Content

Block 17 - CV File Data Loader

Block 18 - CV content - Recursive Character Text Splitter

Block 19 - Chat API - webhook

Block 20 - Personal CV AI Agent Assistant

Block 21 - Chat API Response - Webhook

Block 22 - Chat Memory - Window Buffer

Block 23 - Resume lookup : Vector Store Tool

Block 24 - Resume Vector Store (Retrieval)

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions