Fine-tuned LLMs for personalized knowledge-based retrieval augmented generation (RAG) and automated ticketing.
This enterprise chatbot solution transforms how organizations manage internal knowledge and support requests through personalized AI assistants trained on company-specific information.
By fine-tuning large language models and implementing advanced retrieval augmented generation (RAG), the system provides accurate, contextually relevant responses based on organizational documentation and policies.
The automated ticketing integration ensures that complex queries beyond the chatbot's capabilities are seamlessly routed to the appropriate human specialists, with relevant context already captured.
Implemented a robust permission system that restricts information access based on user roles and authentication status, with full audit logging.
Created an automated document ingestion pipeline with change detection to ensure the knowledge base remains current as organizational documentation evolves.
Developed a specialized retrieval system that combines semantic search with metadata filtering to prioritize the most relevant and authoritative sources.
"Our support team's efficiency increased by 67% after implementing this chatbot. It handles routine queries flawlessly while ensuring complex issues reach the right specialist with all necessary context."
David Patel
CIO, Enterprise Solutions Corp
