Connected sources
SharePoint, Confluence, file shares, PDFs, ERP and CRM data – continuously synced so answers stay current.
Enterprise RAG · Knowledge Graph
Knowledge Assistants with Graph RAG: Answers from Your Company Knowledge
Your knowledge lives in manuals, SharePoint, ERP systems and the heads of experienced staff. We build assistants that search this knowledge reliably, back every answer with a source and – thanks to knowledge graphs – understand connections across documents.
- Every answer with source and passage
- Graph RAG for interconnected knowledge
- Measured answer quality before go-live
Sound familiar?
- 01 Knowledge is scattered
“I know it's written down somewhere. I just can't find it.”
Information sits in file shares, SharePoint, tickets and PDFs. Searching costs your team time every day.
Our answerAn assistant that searches every source and shows exactly where the answer is.
- 02 Chatbots make things up
“The chatbot sounded convincing – and was wrong.”
Without a solid connection to your sources, language models produce answers that sound plausible but are wrong.
Our answerAnswers only from your documents, with sources – and an honest “I don't know” when nothing fits.
- 03 Basic RAG hits its limits
“Simple questions work. Once it gets complex, half the answer is missing.”
Questions that connect knowledge from several documents often get incomplete answers from a basic RAG system.
Our answerGraph RAG connects knowledge across documents for complete answers.
What you get
Answers with citations
Every answer points to the document and passage. Your team can verify any statement in one click.
Knowledge graph for connections
Where domain knowledge is highly connected – products, standards, contracts – we model relationships as a graph so complex questions get complete answers.
Role-based access
The assistant only answers with what the person asking is allowed to know – integrated with Microsoft Entra ID.
Evaluation & monitoring
We measure correctness, completeness and relevance with test questions – before go-live and continuously in production. Also for systems we didn't build.
Part of everyday work
As a web app, inside Microsoft Teams or via API in your existing applications.
Typical use cases
- Technical support with manuals and service history
- Contract and policy questions for legal, HR and compliance
- Product and standards knowledge for sales and engineering
- Onboarding new employees with the knowledge of experienced colleagues
How we work
- 0130 min · free
Discovery call
We clarify the questions to answer, your data sources and security requirements.
- 021–2 weeks
Data review & architecture
We review your data and decide together whether classic RAG is enough or a knowledge graph is needed.
- 032–4 weeks
Prototype on your data
A working assistant on real documents, tested with questions from your team.
- 04ongoing
Production
Rollout, additional sources and continuous monitoring of answer quality.
Put your company knowledge to work
We assess with you whether a knowledge assistant fits your data – and how to measure its quality.Book a free callFrequently asked questions
What is the difference between RAG and Graph RAG?
RAG retrieves relevant passages and lets the language model answer from them. Graph RAG adds a network of concepts and relationships, which helps with questions whose answer is spread across several documents.
Do we need a knowledge graph?
Not necessarily. Classic RAG is enough for many use cases. We decide based on your data and questions – not on trends.
How do you prevent wrong answers?
With clean source integration, citations in every answer and systematic evaluation using test questions. If the assistant finds no basis for an answer, it says so.
Where is our data stored?
In Swiss data centres or in your own infrastructure. Your data is never used to train public models.
Put your company knowledge to work
We assess with you whether a knowledge assistant fits your data – and how to measure its quality.
Talk directly with the people who will build your solution.info@swai-solutions.ch Zurich, Switzerland · Wiedingstrasse 97Request your free discovery call
Free & non-binding · Reply within 24 h · Directly with the founders