Implementingan AI-Powered Document Retrieval System for a Confidential Client

Client Overview

A confidential client approached S-MOBILE with a pressing issue: their vast repository of documents was scattered across various storage locations, making it challenging to locate specific information quickly and efficiently. The client required a solution that would allow users to query their internal documentation and receive accurate responses without the data leaving their secure network.

Challenges

1. Disorganized Storage

The client's documents were stored in multiple, unstructured locations, leading toinefficiencies in information retrieval.

2. Security Concerns

Theclient was adamant about maintaining the confidentiality of their documents anddid not want to use external AI services like ChatGPT.

3. User Accessibility

Thesolution needed to be user-friendly, allowing employees to ask questions innatural language and receive precise answers from the internal documentation.

Solution

S-MOBILE proposed a custom AI solution using the Llama model, an open-source large language model, which was fine-tuned on the client's internal documents. This approach ensured that all data processing remained within the client's secure network.

Implementation

1. Data Collection and Preprocessing

The first step involved gathering all the client's documents and organizing them into a structured format. This included converting various file types into a consistent format and removing any redundant or outdated information.

2. Model Training

The Llama model was fine-tuned on the preprocessed documents. This involved training the model to understand the specific terminology and context relevant to the client's industry and internal processes.

3. Integration

The trained model was integrated into the client's internal network, providing a secure interface where users could input queries and receive responses based on the internal documentation.

4. UserTraining and Support

Employees were trained on how to use the new system effectively. Ongoing support was provided to address any issues and ensure the system's optimal performance.

Results

  • Improved Efficiency

The AI-powered system significantly reduced the time employees spent searching for information, leading to increased productivity.

  • Enhanced Security

By keeping all data processing within the client's network, the solution ensured that sensitive information remained secure.

  • User Satisfaction

The intuitive interface and accurate responses led to high user satisfaction and adoption rates.

Conclusion

The implementation of the Llama model for internal document retrieval proved to be a successful solution for the client's needs. S-MOBILE demonstrated its capability to deliver secure, efficient, and user-friendly AI solutions tailored to specific client requirements.