Notify users when features ship with Semantic Search from Tally to Gmail
UnknownWhat this workflow does
This AI workflow has 17 nodes and runs manually, when you click “Execute workflow” (plus 2 other triggers). Along the way it connects Supabase Vector Store, Embeddings OpenAI, Gmail and OpenAI Chat Model and 1 more. It also calls host.docker.internal:11434 over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow” (plus 2 other triggers).
- Lunch description (Edit Fields (Set)): sets 1 field: description
- Data Cleaner (Edit Fields (Set)): sets 3 fields: user_name, user_email, original_text
- Manage input - Code in JavaScript (Code): runs custom JavaScript code
- Supabase Vector Store: stores documents in the Supabase vector store, with embeddings: Embeddings OpenAI; document loader: Default Data Loader
- Generate Embedding (Ollama) (HTTP Request): calls host.docker.internal:11434 (POST)
- HTTP Request: calls an HTTP API (POST)
- Loop Matches (Loop Over Items (Split in Batches)): loops over the items in batches
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Create Draft (Gmail): work with draft
Services it uses
HTTP calls to: host.docker.internal:11434
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-tallyforms is verified or supports 3.0 (used in Tally Trigger).
Nodes used (15)
- Tally Trigger
n8n-nodes-tallyforms.tallyTrigger - Edit Fields (Set)
n8n-nodes-base.set - Supabase Vector Store
@n8n/n8n-nodes-langchain.vectorStoreSupabase - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Manual Trigger
n8n-nodes-base.manualTrigger - RSS Feed Trigger
n8n-nodes-base.rssFeedReadTrigger - HTTP Request
n8n-nodes-base.httpRequest - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Gmail
n8n-nodes-base.gmail - No Operation, do nothing
n8n-nodes-base.noOp - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
Who is this for? This workflow is for Product Managers, Indie Hackers, and Customer Success teams who collect feature requests but struggle to notify specific users when those features actually ship. It helps you turn old feedback into customer loyalty and…