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Documentation Index

Fetch the complete documentation index at: https://docs.gp.scale.com/llms.txt

Use this file to discover all available pages before exploring further.

SGP provides a comprehensive suite of capabilities for building, deploying, and managing AI applications at scale. Our platform combines powerful tools for development, evaluation, and production deployment.

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📄 Document Understanding

Advanced document processing and information extraction capabilities. Learn more about Document Understanding → Key Features:
  • Universal Format Support: PDFs, images, spreadsheets, presentations
  • Intelligent Parsing: Convert documents to structured JSON
  • Custom Extraction: Define schemas for specific data needs
  • High Accuracy OCR: Advanced text recognition and extraction
  • Project Management: Secure, isolated document processing

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⚙️ Workflows

No-code/low-code durable workflow orchestration platform that enables enterprise operators to import data, transform it, call LLMs or Agents, analyze or evaluate the output, and automate the entire workflow. Learn more about Workflows → Key Features:
  • Importing data: Read data from various sources like agent traces, CSVs, blob storages, or queryable data sources.
  • Transforming data: Transform your data using custom Python code or simple functions. Extract structured data from PDFs & documents.
  • Call LLMs or Agents: Generate output and traces against input from each row of your dataset using LLMs or Agentex agents.
  • Evaluate data: Evaluate your outputs using LLM as Judge and access the evaluation anytime on SGP.
  • Visualize data: Generate visualizations like charts & build custom dashboards.
  • Export the data: Export the data as a CSV or SGP dataset or SGP Evaluation.
  • Automate & monitor: Schedule the workflow to run periodically. Execute a workflow via an API call. Monitor logs & get alerts.

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Training

Train custom models on your own data without managing cloud infrastructure. Submit training jobs through a single API and Train handles the rest, whether your workload runs on GCP, AWS, or Azure. Learn more about Training Key Features:
  • Any cloud backend: Run jobs on Vertex AI, SageMaker, or Azure ML with a single API
  • Bring your own image: Push a Docker image once and reference it in any job
  • Portable data access: Mount GCS, S3, or Azure Blob Storage into your container using consistent environment variables
  • Simple job lifecycle: Track progress from submission to completion with a consistent status model across all backends