AI Customer Support & Knowledge Assistant
An AI-powered system that answers customer queries using company-specific knowledge and structured data.
Project Overview
This system was built to assist customer support teams by providing accurate, context-aware responses based on internal documentation and predefined knowledge sources.
The Problem
Support teams were spending excessive time responding to repetitive queries, leading to slower response times and inconsistent answers.
The Solution
An AI-assisted workflow was implemented using semantic search and LLM-based response generation to provide accurate and consistent answers with minimal manual intervention.
Key Outcomes
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Reduced repetitive support workload
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Faster response times for common queries
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Consistent knowledge-based responses
Engineering Responsibility
- Design of AI-assisted support workflow
- Creation and structuring of knowledge datasets
- Vector database integration for semantic search
- Backend integration and response handling
Technology Stack
Architecture Notes
Embeddings were stored in a vector database to enable semantic similarity search before passing relevant context to the language model.
Integration Details
Integrated with backend services via APIs for query handling and response delivery.
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