AI and machine learning
RAG and knowledge assistants
Retrieval-augmented generation: assistants that look up your own sources first and answer from them, with references you can check.
What we deliver
- Ingestion and chunking of documents, news, tickets or product data
- Embeddings and hybrid search so the right passages are found
- Answers grounded in the retrieved sources, with references
Typical uses
- News filtered and explained per investment portfolio
- An assistant that answers plain-language questions about a portfolio
- Internal knowledge bases for support and onboarding
Have something in mind?
Tell us what you want to achieve. We reply with how we would approach it and what it would take.
Start a project