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IA RAG

Enriching AI with your internal data for reliable and contextualized answers

At Aerow, we view RAG (Retrieval Augmented Generation) as a catalyst for accessing business knowledge, capable of leveraging the company's entire documentary heritage while ensuring the traceability and reliability of answers.

This approach is explicitly highlighted in our AI offerings, delivering contextualized answers backed by source documents.

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A RAG is not a chatbot. It is a document intelligence engine. At Aerow, we begin by understanding business use cases: regulatory research, customer support, document analysis, operational assistance, or decision support.

We then connect the company's information sources: DMS (Document Management Systems), SharePoint, OpenText, knowledge bases, ERPs, or line-of-business databases. Documents are analyzed, indexed, and enriched using semantic search mechanisms.

When a user asks a question in natural language, the system does not reply based solely on its statistical knowledge. It first retrieves the most relevant documents, extracts the useful passages, and then generates a contextualized response complete with source citations.

This approach drastically reduces LLM hallucinations, builds user trust, and unlocks the full value of your existing document repositories.

At Aerow, we augment this core foundation with governance mechanisms, confidence scoring, human-in-the-loop validation, and comprehensive traceability to ensure response quality and explainability. As a result, RAG evolves into a true business copilot, driving productivity and smarter decision-making.

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Example for one of our clients

RAG is used to query an OpenText document repository using natural language. Users receive contextualized answers along with references to the original documents, accelerating regulatory research and the review of historical document precedents.

"An LLM knows how to speak. A RAG knows how to speak YOUR data."

This is the most effective way to illustrate the difference between a 'generic' ChatGPT and a truly production-ready enterprise AI platform.

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