I recently built a Q&A bot using n8n and Vector DBs for a client. The goal was to create a system that could scan a large number of documents and provide accurate answers to employee queries. Here’s a high-level overview of how I approached the project.
First, I set up a webhook to receive incoming queries from employees. Then, I used n8n to process the query and retrieve the relevant documents from the Vector DB. Finally, I implemented a simple logic to extract the answer from the document and return it along with the page number.
It was a fun project, and I’m excited to see the impact it will have on the client’s internal knowledge management.
Want to learn more about building a Q&A bot? Check out our blog for more technical insights.
#n8n #VectorDBs #QandA
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