AI Workspace & Chat
Smart search, knowledge-base chat, prompts and notebooks.
Search
Finding one piece of information in an archive of millions of documents used to require guesswork: the exact word, the right filter, several attempts. In DATTA's Search you ask in…
User's default prompt
Repeating the same instructions to the AI in every conversation — "answer in formal Portuguese", "cite the legal basis", "be concise" — is manual work that should not exist. With…
Chat Reasoning Model (Thinking)
A chat search that takes more than ten seconds to answer erodes the user's trust, even when the final answer is excellent. The Modelo de Raciocínio (Thinking) field, in {{menu:Sis…
Platform AI models: where to choose them and how to check
Each type of AI model on the platform — the chat model, the DATTA Captain model, the entity extraction (NER) model, the embedding model and the rerank model — has one choice, whic…
AI engine scaling: how many replicas each engine keeps
The AI engines that run inside the platform — Embedding, Rerank, Chat on CPU and Chat on GPU — can have more than one replica. In {{menu:Sistema > IA}}, section Escala dos motores…
DATTA Notebook — documentation and examples
Preview — feature under development. Behavior, screens and contracts may change without notice between releases.
Guide: DATTA Multi-Source Notebook
Preview — feature under development. Behavior, screens and contracts may change without notice between releases.
3 restricted pages
Operations documentation — it describes topology, addresses and commands. Sign in to the platform to read it.