Templates / Smart chat assistant with GPT-5, Google Sheets, and Pinecone RAG memory

Smart chat assistant with GPT-5, Google Sheets, and Pinecone RAG memory

Ready for 3.0

by Rahul Joshi βœ“ Β· 538 views Β· created 2025-11-14 Β· Support Chatbot, AI RAG

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

Nodes used (19)

Simple MemoryAI AgentStructured Output ParserOpenAI Chat ModelGoogle DriveDefault Data LoaderRecursive Character Text SplitterEmbeddings OpenAIGoogle SheetsPinecone Vector StoreGmail

What it does

πŸ“Š 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). πŸ€–πŸ“‚ 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. πŸ’¬πŸ“Š What This Template Does 1️⃣ Chat Trigger – Receives incoming chat messages through a webhook. πŸ’¬ 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. πŸ€– 5️⃣ Conversation Logging – Stores chat sessions with timestamps and detected intent in Google Sheets. πŸ“‹ 6️⃣ Knowledge Base Expansion – Automatically indexes new files from Google Drive to Pinecone for future RAG responses. πŸ“‚ 7️⃣ Weekly Report – Aggregates all chats and sends an email summary with logs attached via Gmail every Monday. πŸ“§ Key Benefits βœ… AI chat assistant with contextual accuracy using RAG βœ… Auto-updating knowledge base via Google Drive β†’ Pinecone βœ… End-to-end chat tracking and audit-ready logging βœ… Weekly performance reports via Gmail βœ… 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: - PINECONEINDEX with your index name - GOOGLESHEETID with your log sheet ID - GOOGLEDRIVEFOLDERID with monitored folder Target Audience - Support and helpdesk automation teams πŸ’¬ - AI chatbot developers enhancing context recall πŸ€– - 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. βœ…

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