RAG for businesses
RAG combines search and generation to answer from your documents. It is useful when information changes and you do not want to retrain a model.
Is this the right service?
When it is a fit
- Manuals, policies, or documents are scattered.
- The team cannot find information.
- Information changes frequently.
- You need a knowledge base.
- You want answers with citations.
When it is not
- There are no documents. Create or collect the knowledge base first.
- A static FAQ is enough. A RAG system is not necessary.
- You need to change the model's style. Fine-tuning is better for style or format. See AI model fine-tuning
- Sensitive data has no access control. Data governance comes first.
- You only need a website. The scope is web development. See Web development
What is included
- Use case and data review.
- Design and evaluation.
- Implementation and integration.
- Human oversight and documentation.
How it works
- Review the use case and data.
- Design and evaluate.
- Implement and integrate.
- Document and monitor.
Before we start
What we need
- Documents.
- Permissions.
- Use case.
- Responsible contact.
What is not included
- Licenses and usage.
- Massive data cleanup.
- 24/7 support.
Typical cases
Support knowledge base
RAG over manuals and tickets.
Technical manuals
Semantic search with citations.
Internal policies
Answers with permissions.
Frequently asked questions
When do I not need this service?
If there are no documents, if a FAQ is enough, or if you only need a website, it does not apply. See the When it is not section.
RAG or fine-tuning?
RAG is usually better for changing information and documents; fine-tuning for style or specific tasks.
Can sources be cited?
Yes. We show the document and the fragment used.
How is it updated?
Documents are reindexed when they change.
Is it secure?
Permissions and access control are applied.
How long does it take?
It depends on the volume and quality of the documents.
Not your case?
If you need to change the model's style., the recommended service is AI model fine-tuning.
See all services