I recently worked on a project to build a Custom RAG AI Agent that acts as a digital archive assistant for companies. The goal was to create a system that could search through a large amount of private company data, hosted securely on AWS Mumbai, and provide instant answers to team members.
The tech stack involved using n8n for workflow automation, Vector DBs for efficient data storage, and Webhooks for seamless integration. The AI agent was trained to read and understand the context of various documents, making it a valuable tool for research and decision-making.
One of the key challenges was ensuring the security and integrity of the data. We used AWS IAM roles to control access and ensure that only authorized team members could access the data.
With the ‘Digital Archive’ assistant, teams can now focus on high-priority tasks, knowing that their company data is always accessible and up-to-date.
Want to learn more about building your own Custom RAG AI Agent? Get in touch with our team.
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