The widespread use of generative AI (GenAI) in the enterprise has democratized certain applications, such as writing and translation. However, too few companies have realized that there are far more powerful solutions than ChatGPT for coupling the power of AI with internal company knowledge and know-how. At EFIMOVE.ai, we work with companies to deploy augmented recovery generation (RAG) solutions by business line (HR, Logistics, Finance, Maintenance…). In particular, these solutions enable :
1. Optimize processes and increase efficiency
The integration of an AI RAG within the enterprise can automate many repetitive and time-consuming tasks. Thanks to its ability to rapidly process large quantities of data, AI can help you optimize your business processes, from inventory management to customer relations and logistics. By freeing your staff from low value-added tasks, you enable them to concentrate on more strategic and creative missions, generating growth for your company.
2. Improve decision-making with relevant insights
An AI RAG gives you access to advanced, real-time analysis of your data. By cross-referencing and interpreting information from various sources (CRM, ERP, web, social networks…), AI is able to detect trends, anticipate behavior and provide you with informed recommendations. Whether you need to predict sales, identify new market opportunities or optimize your marketing strategy, an AI RAG will be an invaluable ally for agile, relevant decision-making.
3. Capitalize on in-house know-how and knowledge
Deploying a RAG also enables our customers to capitalize on their company’s know-how. In a way, the RAG becomes the brain, a shared and accessible knowledge base that assists staff on a daily basis. It’s an undeniable tool for preserving information and know-how (in the event of an employee’s departure or illness). It speeds up the sharing of information and best practices internally. The company is the winner, with productivity boosted tenfold, and employees with easy access to methods, processes and information, who are thus able to enhance their skills on a daily basis.
Diagram of an EFIMOVE RAG
To summarize the operation of a RAG deployed by EFIMOVE (in layman’s terms, so as to be understandable by the uninitiated in AI):
RAG (Retrieval-Augmented Generation):
- Input:
- User asks a question.
- User asks a question.
- Retrieval :
- Document corpus: Set of documents or database.
- Search engine: Searches for relevant documents.
- Relevant documents: Documents found for the question.
- Processing:
- Encoding: Transformation of question and documents into numerical vectors.
- Cross-attention: Identification of the most relevant information.
- Generation:
- Decoder: Answer generation based on relevant information.
- Answer: Formulated response.
- Output:
- Answer provided to the user.
Ultimately, integrating an AI RAG into your company will not only enable you to gain in productivity and agility, but also to differentiate yourself in your market by offering cutting-edge, more reliable services. It’s the key to staying competitive in today’s digital and hyper-connected age.
An AI project? Contact our EFIMOVE experts!
