Sumo Notebook RAGv1.0.0

Employees can query a centralized knowledge base of company documentation, meeting notes, and project files using natural language questions. The system retrieves top-3 relevant chunks to provide quick answers without manual searching.

Individuals can maintain a personal knowledge base of study notes, book highlights, and research papers. They can ask questions like 'What are the key points from chapter 3?' and get context from their own notes.

Support agents use the skill to look up product documentation or troubleshooting guides by typing queries. The relevant content is served as context to help resolve customer issues faster.

Legal professionals index case files, statutes, and contracts in the notebook. They can retrieve specific clauses or precedents by querying natural language descriptions of the needed information.

Offer the notebook-RAG skill as a microservice API for developers to integrate into their apps. Charge per query or monthly tier based on usage volume.

Bundle the skill into an enterprise knowledge management platform (e.g., Confluence or Notion). Add a premium tier that includes vector search capabilities.

Provide setup and customization services for organizations to deploy the skill on their own infrastructure (Ollama + LanceDB). Charge a one-time setup fee plus optional maintenance.