How it works
To connect Pinecone and exolve, you don't need a developer: a ready-made scenario links them in minutes.
- Starts when: WhatsApp Incoming Message Trigger
- Then: Extract WhatsApp Message Details
- Then: AI Intent Classification
- Then: Parse Intent Classification Response
- Check: Intent-Based Request Router
- If yes: WhatsApp FAQ AI Agent
- Then: Send FAQ WhatsApp Reply
- If no: AI Order Information Extractor
- Then: Parse Order Details JSON
- Then: Fetch Product Catalog
- Then: Prepare Product Catalog Context
- Then: AI Semantic Product Matcher
- Then: Parse & Validate Product Match
- Check: Product Match Validation Check
- If yes: Inventory Availability Check
- If yes: Create New Order Record
- Then: Update Product Inventory
- Then: Send Order Confirmation Message
- If no: Send Product Error / Stock Failure Message
- If no: AI Order ID Extractor
- Then: Parse Order Tracking Request
- Then: Fetch Order Status
- Then: Send Order Status Reply
- If no: Notify Human Support Team
- Then: Send Human Support Acknowledgement
- Then: FAQ Response Language Model
- Then: Conversation Memory Manager
- Then: Knowledge Base Retrieval Tool
- Then: Pinecone FAQ Vector Store
- Then: FAQ Embedding Generator
- Then: Knowledge Retrieval LLM
- Starts when: Knowledge Base File Change Trigger
- Then: Download Knowledge Base File
- Then: Store Knowledge Embeddings In Pinecone
- Then: Split Knowledge Base Into Chunks
- Then: Load Knowledge Base Document
- Then: Generate Knowledge Embeddings
You can launch this Pinecone + exolve integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.