Block 1 - When chat message received
- Type / Role
- @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
- Config choices
- Version 1.4
Vacation rental property manager with multiple Assistants ️ Read about how multi domain RAG works and other use cases by working through this tutorial on the n8n Blog [here](https://blog.n8n.io/b...
@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.googledrive, n8n-nodes-base.stickynote, n8n-nodes-base.googledrivetrigger, @pinecone-database/n8n-nodes-pinecone-assistant.pineconeassistant, @pinecone-database/n8n-nodes-pinecone-assistant.pineconeassistanttool
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Pinecone.
Original n8n.io source🛠️ Read about how multi-domain RAG works and other use cases by working through this tutorial on the n8n Blog here.
This workflow shows you how a vacation rental property manager can manage multiple properties each with different information using Pinecone Assistant. Guests can ask questions about their property and get a personalized answer back.
Pinecone Assistant allows you to build production-grade chat and agent-based applications quickly. It abstracts the complexities of implementing retrieval-augmented (RAG) systems by managing the chunking, embedding, storage, query planning, vector search, model orchestration, reranking for you.
n8n-vacation-rental-property-lakeside, n8n-vacation-rental-property-birchwood, n8n-vacation-rental-property-hillcrestGenerate fictional data in markdown format in multiple files for three fictional vacation rental properties in a fictional city. The rental property names are:
- **Hillcrest Haven** – cozy hillside cottage
- **Birchwood Retreat** – wooded cabin
- **Lakeside Loft** – modern loft near the water
Include house manual and rules, wifi codes, local restaurant, coffee shop, outdoor recreation, and entertainment recommendations, and fictional appliance manuals for the air fryer, coffee pot, tv, and washer and dryer.
All addresses, cities, names, phone numbers should be fictional. Each set of files should be named based on their property name like "hillcrest_haven_house_manual.md".
Note: If you don't want to generate your own files, you can use these files.
lakeside, birchwood, and hillcrestI need help with the coffee makerThe air fryer isn't working at the Lakeside propertyproperty, to the name of the property the file is for.You can find help by asking in the Pinecone Discord community or filing an issue on this repo.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Handle guest inquiries for multiple rentals with Pinecone Assistant and GPT-4.1 |
|---|---|
| Complexity | advanced |
| Nodes | 19 |
| Categories | Support Chatbot, AI RAG |
| Author | Pinecone |
| Published | 17 Feb 2026 |
Use the JSON export at /data/workflows/13467/13467.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Vacation rental property manager with multiple Assistants ️ Read about how multi domain RAG works and other use cases by working through this tutorial on the n8n Blog [here](https://blog.n8n.io/b...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI RAG use case.