# Demo 6: Evaluation & Research

Evaluation-focused scaffold with golden datasets, relevance labels, and variant definitions for retrieval A/B tests. This workflow assumes you have already run **Demo 1 (Hybrid Search Indexing)** so the Pinecone indexes are populated; it no longer builds an in-memory vector store.

## Usage
This demo is designed to be uploaded and executed on the Orcheo server.

1. Upload `demo_6.py` to your Orcheo workspace.
2. (Optional) Store runnable defaults during upload:
   `orcheo workflow upload demo_6.py --config-file config.json`
3. The server will detect the `graph` entrypoint and `DEFAULT_CONFIG`.
4. Execute the workflow via the Orcheo Console or API.

## What to Expect
- Golden queries live in `../data/golden/golden_dataset.json` with paired relevance labels in `../data/labels/relevance_labels.json`.
- Config includes variant definitions for comparing retrieval strategies.
- Runner prints dataset and variant summaries to validate the setup before wiring full evaluators.
