nao

Plataformas de Data Warehouse e Data Lake

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The SaaS transforms complex data metrics, schemas, and tribal knowledge into a structured, file-system-like context tree, enabling precise and explainable analytics. It offers features such as version-controlled context organization, verified data definitions, a deployable chat interface for non-technical users, and seamless integration with data warehouses like Postgres or Snowflake, solving the problem of unstructured, hallucination-prone analytics agents and making data-driven insights accessible across teams. This tool is ideal for data engineers, analysts, and product teams seeking reliable, auditable, and collaborative data insights.

nao pode ser encontrado em Data Warehouse & Data Lake Platforms categorias.

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Detalhes

Principais características do nao

• Grounded answers
  Every answer shows which files were used, so you can check the reasoning and make sure answers are trustworthy.
• Connect your stack
  Nao can connect to your database systems like Postgres, Snowflake, BigQuery, or dbt to use your data.
• Deployable chat UI
  You can send a chat interface to your team where anyone can ask questions in simple English.
• Verified definitions
  Nao keeps the exact SQL code for each metric so answers are always correct and consistent.
• Treat your knowledge like code
  Nao helps organize, version, and review your data and metrics just like coding projects.
• Organize metrics, schemas, and definitions
  You can put your metrics, schemas, and definitions into folders, review them, and reuse them.
• Scope context by team, project, or dataset
  You can organize the context for different teams, projects, or data, and child contexts will follow the same rules.
• Build your agent context like a file system
  Nao organizes your data, metrics, and definitions into folders and files like a computer file system.

Emblemas

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