Personal portfolio CV Rag chatbot - with conversation store and email summary
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 24 nodes and runs on Google Drive events (file created) (plus 4 other triggers). Along the way it connects Embeddings Google Gemini, Google Gemini Chat Model, Google Drive and Pinecone Vector Store and 3 more.
How it runs
Trigger: On Google Drive events (file created) (plus 4 other triggers).
- Download CV File From Google Drive (Google Drive): download
- Personal CV AI Agent Assistant (AI Agent): runs an AI agent, with model: Google Gemini Chat Model; 1 tool (Resume lookup : Vector Store Tool); memory: Chat Memory - Window Buffer
- Save Conversation - NocoDB (NocoDB): create
- NocoDB: get many
- Pinecone Vector Store: stores documents in the Pinecone vector store, with embeddings: Embeddings Google Gemini; document loader: CV File Data Loader
- Chat API Response - Webhook (Respond to Webhook): sends the response back to the webhook caller
- Save Conversation API Webhook - Response (Respond to Webhook): sends the response back to the webhook caller
- Group Conversation By Unique Session + Email - Code (Code): runs custom JavaScript code
- Format HTML Display For email (HTML): parses or builds HTML
- Send Report To Gmail (Gmail): uses Gmail
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Personal CV AI Agent Assistant (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Personal CV AI Agent Assistant (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (17)
- Embeddings Google Gemini
@n8n/n8n-nodes-langchain.embeddingsGoogleGemini - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Google Drive Trigger
n8n-nodes-base.googleDriveTrigger - Google Drive
n8n-nodes-base.googleDrive - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - Webhook
n8n-nodes-base.webhook - AI Agent
@n8n/n8n-nodes-langchain.agent - Respond to Webhook
n8n-nodes-base.respondToWebhook - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Vector Store Question Answer Tool
@n8n/n8n-nodes-langchain.toolVectorStore - NocoDB
n8n-nodes-base.nocoDb - Code
n8n-nodes-base.code - HTML
n8n-nodes-base.html - Gmail
n8n-nodes-base.gmail
From the author
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…