I recently built a 24/7 digital receptionist using n8n and Vector DBs. The goal was to create a system that could answer calls instantly, identify the caller’s needs, and log everything while my team is away. Here’s a high-level overview of the architecture:
Webhooks: I used webhooks to receive incoming call data from our phone system. The webhook sends a JSON payload to n8n, which triggers the workflow.
n8n: n8n is the workflow engine that runs the logic for answering calls and identifying the caller’s needs. I used a combination of JSON and Vector DBs to store and retrieve caller data.
Vector DBs: Vector DBs are a type of NoSQL database that allows for fast and efficient storage and retrieval of caller data. I used Vector DBs to store caller information, such as name, phone number, and reason for calling.
By leveraging n8n and Vector DBs, I was able to build a robust and scalable system that can handle a high volume of calls. If you’re interested in building a similar system, I’d be happy to share more details.
Check out our AI Voicebot solution for more information on how we can help you build a 24/7 digital receptionist.
#ShahiRaj #n8n #VectorDBs
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