Page Contents

Resources

ViewOps Careers

ViewOps Sample Questions (Yield MVP)

ViewOps Tagging (MVP)

ViewOps Prompt Training (MVP)

ViewOps Memory (MVP)

ViewOps Example Output (Yield MVP)

Product Scope

ViewOps is an on-premises AI interface that connects internal operational data to large language models, enabling structured, role-aware querying with full control over accuracy and permissions.

Built on PostgreSQL — used both as the structured data store and vector database via pgvector. Our intention is to provide a unified, secure and low-latency foundation, allowing enterprise-grade search and retrieval.

The system combines natural language input with a hybrid backend: predefined SQL templates for deterministic answers, and a retrieval-based layer powered by tagging, memory, and feedback loops.

Ingested data flows through two core routes:

• Structured models (MVP) for high-value, repeatable use cases (such as product settings, production outcomes, and financial data), where accuracy is essential and answers are drawn from validated tables using predefined prompts and deterministic logic.
• A flexible tagging and vector layer for broader, less-structured queries — enabling intelligent search across documents, comments, and historical records, where providing the right context matters more than strict precision.

Both layers improve over time through feedback loops and human-in-the-loop review — increasing accuracy, trust, and relevance with every interaction.

ViewOps MVP - Overview Diagram