Knowledge that actually helps.
Practical tips, perspective and experience from our seminars – on artificial intelligence, IT security and digitalisation. Explained clearly, without the jargon.
RAG explained, part 4: tools, costs and a realistic way in
The software for RAG usually costs nothing. What you pay for is computing power and, above all, working time – this part sorts out what is available and which items really do add up.
Read article →AI explainedRAG explained, part 3: when does the effort pay off?
The question is often asked with reference to page counts or document counts – and that is what makes it misleading. What matters is less the volume than how well ordered your documents are.
Read article →AI explainedRAG explained, part 2: not every RAG needs a vector database
Read up on the subject and you meet embeddings and vector databases everywhere – so often that the two look like the same thing. They are not: looking things up works in three ways, and not every one of them needs a vector database.
Read article →AI explainedRAG explained, part 1: when AI needs to know your own documents
An AI assistant knows a great deal about the world and nothing about your business. RAG connects the two – the AI looks things up in your documents before it answers.
Read article →Practical tipFrom enquiry to finished offer – how a team of AI agents works at ValBit
At ValBit, a team of AI agents drafts our offers – anonymised, reviewed and approved by a human. A look behind the scenes of our own working day.
Read article →About usHello! We are ValBit – and this is what we do
To kick off our blog, we introduce ourselves: who is behind ValBit, what we do for companies, public administrations and private individuals – and what we will write about here.
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