The scenario reads every email, understands its type, and acts: it answers common questions itself from the Pinecone knowledge base, routes the rest to the right team, and rates reviews by tone.
Every email is recognized by type
Common questions — answered from the knowledge base
Invoices, resumes, leads go to the right teams
Negative reviews — an instant alert to the team
GhostPineconeKeapEmail Trigger (IMAP)Pinecone Vector StoreEmbeddings CohereDefault Data Loader
Automating Ghost and Pinecone takes no code: a ready-made scenario does the routine for you.
Starts when: When clicking ‘Execute workflow’
Then: HTTP Request
Then: Extract from File
Then: Code3
Then: Pinecone Vector Store1
Then: Email Trigger (IMAP)
Then: Code
Check: Switch1
If yes: Basic LLM Chain1
Then: Code2
Check: Switch
If yes: accepted confirm to candidate
Then: to hr
If no: rejection email
If no: bill send to team
If no: Send to customer
Then: send to support team
If no: Sentiment Analysis of feedback
Then: X
Then: send email to team
If no: RAG INQURY REPLY
Then: send reply to customer
If no: TO SALES TEAM
If no: Basic LLM Chain
Then: CLEAN AI AGENT OUTPUT
Then: Groq Chat Model
Then: Groq Chat Model1
Then: Groq Chat Model2
Then: Groq Chat Model3
Then: Pinecone Vector Store
Then: Embeddings Cohere
Then: Embeddings Cohere1
Then: Default Data Loader
Then: Recursive Character Text Splitter
You can launch this Ghost + Pinecone integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.