Artificial Intelligence is reshaping industries, and knowledge retrieval is no exception. When Linde, a leading global industrial gases and engineering company, sought to enhance their knowledge accessibility across multiple regions, they began an exciting journey with us. Here’s a look into their transformative story.
Business Challenge: Streamlining Knowledge Access
Linde, with its vast collection of internal documents and diverse global workforce, faced a significant challenge: swiftly retrieving accurate and relevant information for everyday work-related queries. Their goal was straightforward yet demanding – they needed a simple, high-quality, and secure solution that could deliver answers reliably and quickly.
Our Collaborative Journey: Key Features and Solutions
To address Linde's needs, we jumped into action, designing a custom Large Language Model (LLM) solution that leveraged advanced AI technologies to facilitate seamless knowledge retrieval. Here’s how we did it:
Combining Efficiency with Relevance
Our solution utilized a Retrieval Augmented Generation (RAG) tool, which streamlined the knowledge retrieval process. This tool searched Linde’s document database for answers and then provided users with relevant, direct responses. No more endless searching – just immediate, accurate answers.
Keeping Information Secure
Ensuring the security of proprietary data was crucial. By hosting the solution on Azure Cloud, we guaranteed that all information stayed secure within Linde's environment, without being transferred externally. This upheld data integrity and built trust.
Fostering Global Accessibility
From the outset, the tool was designed to support multiple languages, enabling seamless interaction across various regions. This multi-national support ensured that language barriers were broken down, broadening information accessibility for Linde’s global workforce.
Enhancing Retrieval Accuracy
We optimized the indexing and retrieval processes using advanced techniques such as text-splitting methods, adding search-friendly metadata, and handling tables separately. Automated updates to the database ensured the system remained current and highly efficient.
Ensuring Information Trustworthiness
The system was developed to cite its sources, allowing users to verify information quickly. Additionally, we implemented a robust framework to continually test and monitor the chatbot's performance, ensuring ongoing reliability.
The Benefits: Transforming Everyday Work
Adopting these innovative features brought significant value to Linde, transforming their knowledge retrieval processes.
Efficiency at its Best
Employees no longer needed to sift through multiple search engines or rely heavily on colleagues to find answers. The new tool enabled quick and accurate searches, streamlining workflows and boosting productivity.
Breaking Language Barriers
With multilingual capabilities, employees could ask questions in one language and receive answers from documents written in another, vastly expanding the range of accessible information.
Ensuring Complete Understanding
The natural language interface allowed users to ask follow-up questions or request additional summaries, ensuring they fully understood the information provided, leading to better decision-making.
See our case study to discover more details about this partnership.
A Brighter Future with Advanced Knowledge Retrieval
Through collaboration and innovative AI integration, we delivered a solution that truly transformed the knowledge retrieval process at Linde. This robust, secure, and efficient tool stands as a testament to the transformative power of Machine Learning and Large Language Models, providing quicker, more reliable access to information.
Are you ready to transform your processes as well? Join the ranks of AI-enhanced enterprises! Contact us today to discover how our solutions can elevate your operations.
