The client, a prominent energy company in California, faced the challenge of efficiently searching through a vast repository of policy documents. With a growing number of policies, it became increasingly difficult for employees to quickly find the necessary information. This inefficiency hindered productivity and decision-making processes.

• Employees struggled to find relevant policy documents quickly.
• Technology and Services: Llama, RAG, NLP Solutions Optimization.
• Difficulty accessing critical information hindered decision-making increased.
• As policy documents grew, search inefficiencies Infrastructure.
• Struggled to identify the references for the service pointers.

• Implemented an AI-driven chatbot to search policy documents.
• Deployed LLaMA LLM on-prem for privacy and security.
• Created a Retrieval Augmented Generation application to improve search query responses with semantic capability.
• Developed an accessible chatbot interface.