Pipelines
Pipelines Overview
Pipelines in Datograde represent the flow of data through your Generative AI pipelines, from raw input to final output. Typically, this pipeline processes unstructured data like documents, images, and text. The Pipelines feature helps you:
- Visualize and monitor the step-by-step process of how unstructured data is transformed.
- Debug issues at any stage of the Generative AI pipeline.
- Analyze performance metrics like latency, success rates, and bottlenecks.
- Override and edit intermediate outputs for manual corrections.
- Integrate seamlessly with Prompts and Examples for a complete observability solution.
Key Features
- Pipeline Visualization: See a complete map of your unstructured data processing flow.
- Step-Level Inspection: Drill down into individual pipeline steps to analyze inputs, outputs, and Generative AI processing logic.
- Debugging Tools: Override and rerun problematic steps to identify and resolve issues.
- Performance Monitoring: Track latency, error rates, and throughput across the entire pipeline.
Use Cases for Pipelines
- Debugging Data Flows: Inspect and troubleshoot unstructured data transformations in real-time.
- Performance Optimization: Identify and fix slow or error-prone steps in your Generative AI pipeline.
- Improving Outputs: Manually override problematic outputs and refine pipeline logic.
- System Observability: Gain end-to-end visibility into how unstructured data is processed through Generative AI pipelines.