Chat with Google Sheet - Smart Chat Agent with Memory & Search

Description

An intelligent conversational AI system that provides contextual responses by combining chat history, vector database knowledge retrieval, and web search capabilities.

How it Works (High-level steps)

Message Detection: Google Sheets trigger monitors for new user messages and filters out already-processed entries

Context Preparation: Extracts user message, retrieves chat history, and formats conversation context with system prompt

Knowledge Retrieval: AI agent searches vector database for relevant context using Supabase + OpenAI embeddings

Response Generation: LangChain agent processes the request using:

OpenAI GPT-4 language model

Vector store tool for knowledge base queries

SerpAPI tool for web search when needed

Buffer memory for conversation continuity

Response Storage: Updates Google Sheets with AI response and assigns unique timestamp ID

Setup Steps

Configure Google Sheets with columns: user_message, ai_respond, id

Set up Supabase vector store with OpenAI embeddings

Connect OpenAI API credentials (GPT-4 + embeddings)

Configure SerpAPI for web search functionality

Set up Google Sheets trigger and update permissions