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davidmyriel
2024-04-02 14:03:57 -07:00
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qdrant-landing/content/documentation/tutorials/customer-support-cohere-airbyte.md
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# Automate customer support tasks
# Build a RAG system to answer customer support queries
| Time: 120 min | Level: Advanced | |
| --- | ----------- | ----------- |----------- |
Maintaining top-notch customer service is vital to business success. As your operation expands, so does the influx of customer queries. Many of these queries are repetitive, making automation a time-saving solution.
Your support team's expertise is typically kept private, but you can still use AI to automate responses securely.
In this tutorial we will setup a private AI service that answers customer support queries with high accuracy and effectiveness.
By leveraging Cohere's powerful models (deployed to [AWS](https://cohere.com/deployment-options/aws)) with Qdrant Hybrid Cloud, you can create a fully private customer support system. Data synchronization, facilitated by [Airbyte](https://airbyte.com/), will complete the setup.
In this tutorial we will setup a private AI service that answers customer support queries with high accuracy and effectiveness. By leveraging Cohere's powerful models (deployed to [AWS](https://cohere.com/deployment-options/aws)) with Qdrant Hybrid Cloud, you can create a fully private customer support system. Data synchronization, facilitated by [Airbyte](https://airbyte.com/), will complete the setup.
[//]: # (TODO: add a link to the corresponding Qdrant Hybrid Cloud documentation: deployment on AWS)