Smart Chat Assistant with GPT-5, Google Sheets, and Pinecone RAG Memory

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Built by Rahul Joshi Rahul Joshi
Created on June 05, 2026

Description

📊 Description
Empower your workflows with an intelligent AI chat assistant that retrieves real-time context from Google Sheets and a Pinecone knowledge base using Retrieval-Augmented Generation (RAG). 🤖📂
This workflow processes chat messages, retrieves relevant contextual data, generates natural and context-aware responses via OpenAI GPT-5, and automatically logs every interaction in Google Sheets. It also auto-indexes new documents from Google Drive into Pinecone for knowledge expansion and emails weekly chat history summaries for review. 💬📊

What This Template Does
1️⃣ Chat Trigger – Receives incoming chat messages through a webhook. 💬
2️⃣ Data Enrichment – Extracts topic, intent, and context from messages. 🧩
3️⃣ Context Retrieval – Fetches structured data from Google Sheets and semantic data from Pinecone. 🧠
4️⃣ AI Response Generation – Uses GPT-5 to produce relevant, human-like replies with contextual references. 🤖
5️⃣ Conversation Logging – Stores chat sessions with timestamps and detected intent in Google Sheets. 📋
6️⃣ Knowledge Base Expansion – Automatically indexes new files from Google Drive to Pinecone for future RAG responses. 📂
7️⃣ Weekly Report – Aggregates all chats and sends an email summary with logs attached via Gmail every Monday. 📧

Key Benefits
✅ AI chat assistant with contextual accuracy using RAG
✅ Auto-updating knowledge base via Google Drive → Pinecone
✅ End-to-end chat tracking and audit-ready logging
✅ Weekly performance reports via Gmail
✅ Seamless integration with Google Workspace

Features
Retrieval-Augmented Generation (RAG) workflow
Google Sheets integration for structured memory
Pinecone vector database for semantic retrieval
GPT-5 for context-aware conversation generation
Google Drive watcher for automatic knowledge updates
Gmail integration for weekly report delivery
Built-in JSON validation and session memory

Requirements
OpenAI API key (GPT-4/GPT-5)
Google Sheets OAuth2 credentials
Pinecone API credentials
Google Drive OAuth2 credentials
Gmail OAuth2 credentials

Replace:
PINECONE_INDEX with your index name
GOOGLE_SHEET_ID with your log sheet ID
GOOGLE_DRIVE_FOLDER_ID with monitored folder

Target Audience
Support and helpdesk automation teams 💬
AI chatbot developers enhancing context recall 🤖
Businesses maintaining searchable conversation history 🏢
Knowledge managers syncing chat + document intelligence 🧠

Step-by-Step Setup Instructions
1️⃣ Connect your OpenAI, Pinecone, Google Sheets, Google Drive, and Gmail credentials.
2️⃣ Update the Pinecone index and Google Sheet ID in the nodes.
3️⃣ Set your chat webhook URL for real-time message input.
4️⃣ Add your Google Drive folder ID for automated knowledge ingestion.
5️⃣ Test the chat workflow with sample messages.
6️⃣ Enable the schedule trigger to email weekly chat logs automatically. ✅

Nodes Used (11)

AI Agent
@n8n/n8n-nodes-langchain.agent
Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader
Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi
Gmail
n8n-nodes-base.gmail
Google Drive
n8n-nodes-base.googleDrive
Google Sheets
n8n-nodes-base.googleSheets
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone
Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter
Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured