rag-forge report
Generate a pipeline health report dashboard
Synopsis
rag-forge report [options]Description
report aggregates existing pipeline data — indexed chunk counts, the most recent audit JSON report, and drift baseline status — into a single HTML health dashboard. The generated file gives you a quick overview of your pipeline’s operational state without requiring any new LLM calls.
Unlike audit (which runs evaluation and scores your pipeline) and assess (which checks maturity criteria), report is purely a presentation layer over data that has already been collected. Run it after an audit to produce a shareable artefact, or on a schedule to keep a persistent health record.
The command delegates to the Python rag_forge_evaluator.cli module. The output HTML file is written to the directory specified by --output.
Options
| Flag | Default | Description |
|---|---|---|
-o, --output <dir> | ./reports | Output directory for the generated report |
--collection <name> | rag-forge | Name of the vector store collection to inspect for chunk counts |
Examples
Basic usage
rag-forge reportWrite to a custom output directory
rag-forge report --output ./docs/healthReport for a named collection
rag-forge report --collection my-project --output ./reports/my-projectRelated commands
rag-forge audit— run evaluation to produce the underlying audit datarag-forge assess— one-shot RMM maturity assessment