rag-regression-evaluator
Pricing
Pay per usage
Compare baseline and candidate RAG outputs using lexical metrics. Get per-case score changes, regression flags, and a pass/fail threshold decision for up to 100 test cases. No LLM calls. Experimental: does not verify factual accuracy or semantic correctness.
You can access the rag-regression-evaluator programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
# Set API token$API_TOKEN=<YOUR_API_TOKEN>
# Prepare Actor input$cat > input.json << 'EOF'<{< "cases": [< {< "id": "capital-france",< "query": "What is the capital of France?",< "reference_answer": "Paris",< "baseline": {< "contexts": [< "France is a country in Western Europe. Its capital is Paris."< ],< "answer": "The capital of France is Paris."< },< "candidate": {< "contexts": [< "France is a country in Western Europe. Its capital is Paris."< ],< "answer": "The capital of France is Berlin."< }< },< {< "id": "largest-planet",< "query": "What is the largest planet in the Solar System?",< "reference_answer": "Jupiter",< "baseline": {< "contexts": [< "Jupiter is the largest planet in the Solar System."< ],< "answer": "Jupiter is the largest planet in the Solar System."< },< "candidate": {< "contexts": [< "Jupiter is the largest planet in the Solar System."< ],< "answer": "Jupiter is the largest planet in the Solar System."< }< }< ]<}<EOF
# Run the Actor using an HTTP API# See the full API reference at https://docs.apify.com/api/v2$curl "https://api.apify.com/v2/actors/saimislam~rag-regression-evaluator/runs?token=$API_TOKEN" \< -X POST \< -d @input.json \< -H 'Content-Type: application/json'Below, you can find a list of relevant HTTP API endpoints for calling the rag-regression-evaluator Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under API & Integrations in Apify Console. For details, see the API reference.
https://api.apify.com/v2/actors/saimislam~rag-regression-evaluator/runs?token=<YOUR_API_TOKEN>Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.
https://api.apify.com/v2/actors/saimislam~rag-regression-evaluator/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.
https://api.apify.com/v2/actors/saimislam~rag-regression-evaluator?token=<YOUR_API_TOKEN>For more information, please refer to our Get Actor API documentation.
Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the rag-regression-evaluator API programmatically via the Apify API.
You can choose from:
You can start rag-regression-evaluator with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The rag-regression-evaluator is identified within the API by its ID, which is the creator’s username and the name of the Actor.
When the rag-regression-evaluator run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.