Our enhancements achieved a 56.4% improvement in RAG retrieval recall, enabling the client to confidently showcase the system’s capabilities to the telecom company.
Meet our client
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Client’s Challenge
One of the fastest-growing network AI company had implemented a RAG system but struggled with the retrieval component. The data, consisting of technical and structured telecom support tickets, was in French, adding complexity to the system’s functionality and accuracy.
Our Solution
We improved the system’s retrieval capabilities by introducing advanced chunking, rephrasing techniques, and deploying better embedding models to handle the specific and technical nature of the data more effectively.
Client’s Benefits
Our enhancements achieved a 56.4% improvement in RAG retrieval recall, enabling the client to confidently showcase the system’s capabilities to the telecom company. The solution promises increased customer service efficiency through faster resolution times and improved support quality, enhancing overall customer satisfaction.
