Enterprise RAG turns your documents into answers with citations, no hallucinations. One knowledge base, with access control, where search, analysis, chatbot and traceability converge.
RAG (Retrieval-Augmented Generation) is a technique that connects an AI model to your own documents: before answering, the system retrieves the relevant fragments from your knowledge base and generates the answer from them, with citations to the source. Enterprise RAG brings that idea into an organization: an AI that answers from YOUR documents, not from what the model learned on the internet, with permission-based access control and an audit trail. The result is a reliable, cited and verifiable answer, instead of a plausible text that may be made up. In AskNorela, a single knowledge base feeds four modules: search, analysis, chatbot and traceability.
Your company's knowledge exists, but finding it and trusting the answer is the real cost.
Information lives spread across thousands of documents, folders and formats. Nobody has the answer at hand when they need it.
Keyword search does not understand synonyms or intent: if you do not type the exact term, you do not find the document.
A general AI answers confidently even when it invents. Without your documents behind it, you cannot trust what it says.
Exposing all knowledge to everyone breaks compliance. Each person should see only what they are authorized to.
Three steps, no model retraining: ingest your documents, index them by meaning and retrieve to answer with citations.
You upload your documents and the system processes them: it extracts the text, splits it into fragments and gets everything ready to query, with nothing for you to do.
Each fragment becomes embeddings (vectors that capture meaning) and is stored in a vector index. That way it searches by meaning, not just by exact word.
Given a question, hybrid retrieval (semantic plus keyword) pulls the relevant fragments and the model writes the answer from them, citing the source. No model retraining.
A single, access-controlled knowledge base where four modules converge. You upload a document once and use it across all of them.
Ask in plain language and get the answer with citations to the exact documents. Hybrid retrieval that understands meaning, not just the keyword.
Chat with one or many documents at once: compare, summarize and extract data across sources, always with the citation of where each fact came from.
Embed a public chatbot on your site that answers only with the documents you choose. Serve your customers with your knowledge, without hallucinating.
Record owners, dates, amounts and statuses on a per-document timeline, with labels you define, filters and Excel export.
Each document has an organization, department and confidentiality level. Each user only sees, searches and queries what they are authorized to.
You can use your own AI keys. Your documents do not train third-party models: they are used only to answer your queries.
Every answer comes with a citation to its source. Verify in one click and leave hallucinations behind.
Organization, department and confidentiality level: everyone sees only what they are authorized to, with no leaks.
You upload your documents and start getting answers in days, not months of project work.
No fine-tuning and no waiting: you add a document and it is instantly available to query.
Query and answer across several languages, even when your documents are in a different language than the question.
Every interaction is logged with the documents consulted. Traceability ready for compliance and audit.
Enterprise RAG adapts to any sector with heavy document knowledge.
Query contracts, regulations and case law in plain language and get the answer with the exact clause cited.
Ask about policies, reports and receipts, and compare figures across documents without opening them one by one.
Retrieve protocols, clinical guidelines and records under strict access control, with the source always cited.
Instantly find the operational answer you need on the floor across manuals, procedures and spec sheets.
A chatbot that answers from your knowledge base and documentation, reducing tickets without making answers up.
Resolve questions about policies, benefits and internal processes with cited, always up-to-date answers.
Knowledge is powerful only if it is protected. Enterprise RAG never shows more than each person is authorized to see.
Each document is controlled by organization, department and confidentiality level. Each user only sees, searches and queries what is theirs.
The system answers only with what it retrieves from your documents, and every interaction is recorded in the audit log with the documents consulted.
You can use your own AI keys. Your documents are not used to train third-party models: they serve only to answer you.
You get enterprise RAG running in days, with no retraining and no technical team.
Load your documents and the system processes and indexes them on its own. They are ready to query in minutes.
Assign organization, department and confidentiality level so each user only sees what they are authorized to.
Decide where to start: search, analysis, chatbot or traceability. They all work on the same base.
Ask in plain language and get the answer with the citation to the source. Verify each fact in its document.
Whenever you want, turn on the other modules on the same base, with nothing to re-upload.
RAG (Retrieval-Augmented Generation) is a technique that retrieves relevant fragments from your documents and generates the answer from them, with citations. That way the AI answers with real data, not just with what it learned during training.
It is RAG applied to an organization: an AI that answers from YOUR documents, with permission-based access control, audit and citations. Designed so each person queries only what they are authorized to.
A generic chatbot answers with general knowledge and may invent. Enterprise RAG answers only with your documents, cites the source and respects access control, so you know where each answer comes from.
No. RAG does not retrain the model: it retrieves your documents at query time and uses them as context to answer. You add a document and it is instantly available, with no fine-tuning.
The system answers only with what it retrieves from your documents and cites the source. If the answer is not in your knowledge base, it does not make it up, which drastically reduces hallucinations.
Yes. Each document is controlled by organization, department and confidentiality level, and each user only sees what they are authorized to. On top of that, every interaction is recorded in the audit log.
It supports the most common business document formats, such as PDF and other text files. You upload the document and the system extracts the text and indexes it automatically.
Yes. You can query and receive answers across several languages, and even ask in one language about documents written in another.
Days, not months. You upload your documents, define access and start getting answers. There is no long integration project and no retraining.
No. You upload the documents and configure access and modules from the interface, with no code. If you want to use your own AI keys, that is also configured from settings.
No. Your documents are used only to answer your queries, not to train third-party models. You can even use your own AI keys for extra control.
Create your account, upload your documents, define access and choose the module you want to start with (search, analysis, chatbot or traceability). If you want, book a demo and we will show it live.
Find any fact across thousands of documents, with page citations.
Ask and analyze several documents at once, with cited answers.
A chatbot that answers from your documents, embeddable on your site.
Labels, timeline and export of your documents traceability.
Start today with AskNorela and discover how private AI can revolutionize your team's productivity.