See how Sleuth
really works.

Sleuth is not your ordinary Large Language Model — it first retrieves the most relevant context from your dataset, then produces the answer directly from them. Play with our demo by dragging and dropping questions to ask Sleuth and watch it work.

• 1 Your question is processed — converted into a mathematical form that allows Sleuth to find the best context for your question.
• 2 Context is retrieved — document fragments most relevant to your question are extracted (just like a human researcher).
• 3 The model produces an answer — grounded in your specific context the answer is produced. This goes beyond what would be possible for a traditional LLM.
• 4 Sources are shown — transparency is key, so you can see exactly what context was used to produce the answer.