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). π€π
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. π¬π
1οΈβ£ Chat Trigger β Receives incoming chat messages through a webhook. π¬
2οΈβ£ Data Enrichment β Extracts topic, intent, and context from messages. π§©
3οΈβ£ Context Retrieval β Fetches structured data from Google Sheets and semantic data from Pinecone. π§
4οΈβ£ AI Response Generation β Uses GPT-5 to produce relevant, human-like replies with contextual references. π€
5οΈβ£ Conversation Logging β Stores chat sessions with timestamps and detected intent in Google Sheets. π
6οΈβ£ Knowledge Base Expansion β Automatically indexes new files from Google Drive to Pinecone for future RAG responses. π
7οΈβ£ Weekly Report β Aggregates all chats and sends an email summary with logs attached via Gmail every Monday. π§
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AI chat assistant with contextual accuracy using RAG
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Auto-updating knowledge base via Google Drive β Pinecone
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End-to-end chat tracking and audit-ready logging
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Weekly performance reports via Gmail
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Seamless integration with Google Workspace
1οΈβ£ Connect your OpenAI, Pinecone, Google Sheets, Google Drive, and Gmail credentials.
2οΈβ£ Update the Pinecone index and Google Sheet ID in the nodes.
3οΈβ£ Set your chat webhook URL for real-time message input.
4οΈβ£ Add your Google Drive folder ID for automated knowledge ingestion.
5οΈβ£ Test the chat workflow with sample messages.
6οΈβ£ Enable the schedule trigger to email weekly chat logs automatically. β


