GoML developed an AI chatbot for Enfinite Technologies to streamline data access in oil, gas, and water well operations.
The system classifies user questions, uses text-to-SQL and vector search for accurate responses from a PostgreSQL database and domain-specific PDFs, and delivers results through an API interface.
It uses AWS Lambda, SageMaker Llama2, and vector stores for efficient retrieval and classification. The solution improved query response accuracy and sped up information access with visual output options, helping users get insights quickly from large datasets that previously required manual lookup.
.jpg)
