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rajivunni/n8n-whatsapp-ai-agents

n8n workflows for WhatsApp AI agents - HVAC missed call handler, product expert bots, and B2B SaaS demos. Built with OpenAI, Supabase vector search, and Postgres memory.

GitHub ↗
★ 0
stars
65
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

n8n WhatsApp AI Agents is a collection of n8n workflows that link WhatsApp Business API to LLM-backed agents for service businesses. Intended users include automation engineers, customer support teams, and SMBs (examples: HVAC companies and B2B SaaS demos). Key features: three ready workflows (missed-call follow-up, HVAC product expert, SaaS product demo) using OpenAI GPT-4; Supabase vector store for retrieval-augmented generation (RAG); PostgreSQL for persistent chat memory; and Google Sheets for config/logging. Workflows import into n8n and require credentials for OpenAI, WhatsApp, Supabase, and Postgres; you must populate the vector DB with your knowledge base before activation.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (1)
OpenAI
🤖 LLM models (1)
GPT-4
💾 Databases (2)
PostgreSQL Supabase

Why this is classified AI-related

The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology

Repository name no match
Description +25 matched: ai
GitHub topics no match
README head +20 (derived from the score — README text is not stored)
Exclusion penalty -10

Total AI relevance score: 65 / 100

Owner

Account
rajivunni
Type
User
Followers
1

Dates

Created on GitHub 2026-05-26
Last push 2026-05-26
First seen here 2026-05-26
Last fetched 2026-08-19 16:18