Intelligent Conversational System
Intelligent Conversational System
This Fortune 500 client is one of the world's leading integrated energy companies, involved in every aspect of the exploration, production, refining, marketing, and transportation of oil and natural gas, as well as the manufacturing of petrochemicals and power generation.
Industry
Market Intelligence
Project
AI Strategy
Challenge
The client’s engineers often face maintenance or repair issues that require consulting a vast array of manuals, a time-consuming and cumbersome process.
Client recognized the need to provide employees with faster, more accurate access to critical info about their industrial equipment, operations, & procedures.
Solutions
EX Squared’s AI experts tackled the project head-on:
Developed an advanced question-answering system with a retrieval augmented generation (RAG) process harnessing the power of ChatGPT and other large language models (LLMs) along with semantic search techniques. Key innovation areas included contextual parsing into sections and paragraphs, multi-header table parsing, fine-tuned embeddings, vector & BM25 search algorithms, vector DB storage of embedded content, and more.
Analyzed the client’s equipment manuals to identify key areas for improvement, and designed an effective document-chunking strategy and table parsing approach.
Conducted rigorous testing & validation to ensure the system's accuracy and reliability as per standard evaluation metrics by TruLens and Ragas.
Deployed the application with Docker containers, which can be hosted on any cloud infrastructure or private cloud.
Results
EX Squared solved a complex problem by creating an advanced AI question-answering system with semantic search techniques. The end result provides fast, accurate and relevant results for engineers working in the field.
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