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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "cases": [9 {10 "id": "capital-france",11 "query": "What is the capital of France?",12 "reference_answer": "Paris",13 "baseline": {14 "contexts": ["France is a country in Western Europe. Its capital is Paris."],15 "answer": "The capital of France is Paris.",16 },17 "candidate": {18 "contexts": ["France is a country in Western Europe. Its capital is Paris."],19 "answer": "The capital of France is Berlin.",20 },21 },22 {23 "id": "largest-planet",24 "query": "What is the largest planet in the Solar System?",25 "reference_answer": "Jupiter",26 "baseline": {27 "contexts": ["Jupiter is the largest planet in the Solar System."],28 "answer": "Jupiter is the largest planet in the Solar System.",29 },30 "candidate": {31 "contexts": ["Jupiter is the largest planet in the Solar System."],32 "answer": "Jupiter is the largest planet in the Solar System.",33 },34 },35 ] }36
37# Run the Actor and wait for it to finish38run = client.actor("saimislam/rag-regression-evaluator").call(run_input=run_input)39
40# Fetch and print Actor results from the run's dataset (if there are any)41print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")42for item in client.dataset(run.default_dataset_id).iterate_items():43 print(item)44
45# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use rag-regression-evaluator API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: