Test Before You Build

Optimize Your RAG Performance Before Deployment

RAG Evaluation tests multiple retrieval strategies in parallel, helping you find the perfect configuration for your data. Prevent hallucinations, maximize accuracy, and ensure your AI delivers reliable results from day one.

RAG Evaluation Dashboard

Most RAG Projects Fail Because Teams Skip Evaluation

Without proper testing, you're gambling with your AI's accuracy. One wrong configuration choice can mean the difference between reliable answers and dangerous hallucinations.

Building blind is risky
Choosing embedding models and chunking strategies without testing leads to poor retrieval accuracy and frustrated users.
Hallucinations destroy trust
When RAG systems retrieve wrong context, they generate convincing but false answers that damage credibility.
Testing takes forever
Building custom evaluation scripts, generating test data, and comparing strategies manually wastes weeks of engineering time.
Mistakes are expensive
Discovering poor performance after deployment means rebuilding pipelines, reprocessing data, and losing customer confidence.

Scientific Approach to RAG Optimization

Stop guessing which configuration will work. Test systematically, measure accurately, and deploy with confidence.

Test 4 Strategies in Parallel
Compare different embedding models, chunk sizes, and retrieval methods simultaneously to find your optimal configuration.
Comprehensive Metrics Dashboard
Track NDCG scores, relevancy metrics, recall rates, and cosine similarity to make data-driven decisions.
Synthetic Question Generation
Automatically generates test questions from your documents using k-means clustering to cover all topic areas.
Custom Strategy Configuration
Fine-tune embedding models, chunking strategies, chunk sizes, overlap, and Top K values for your exact needs.
Multiple Vector DB Support
Test with Pinecone, Elastic, DataStax, Couchbase, or use our built-in vector database with zero setup.
Interactive RAG Sandbox
Test winning strategies with real queries, adjust prompts, and validate performance before production.

Beyond Metrics

RAG Sandbox: Interactive Evaluation Testing

Turn evaluation metrics into actionable insights. Test your best-performing vector indexes with real queries, compare configurations side-by-side, and validate your RAG system before production.

RAG Evaluation Sandbox interface screenshot
Compare vector indexes.
Test multiple embedding models, chunk sizes, and overlap settings side-by-side with real queries.
View performance metrics.
See Average Relevancy, NDCG scores, and cosine similarity for each configuration in real-time.
Configure system behavior.
Customize prompts, adjust k-values, and fine-tune LLM temperature settings on the fly.
Test with real queries.
Use auto-generated questions or input custom queries to see how your system performs in practice.
Validate before production.
Identify issues like hallucinations or poor retrieval before building your production pipeline.
Share results publicly.
Collaborate with your team by sharing both evaluation results and sandbox access for feedback.

Build RAG Systems That Actually Work

Teams using RAG Evaluation deploy more accurate systems faster, with confidence backed by real performance data.

Prevent Hallucinations

Validate retrieval accuracy before deployment to ensure your AI only generates factual, grounded responses.

95% accuracy improvement

Ship Faster

Skip weeks of custom evaluation scripts. Get actionable insights in minutes, not months.

10x faster testing

Data-Driven Decisions

Compare strategies with comprehensive metrics. Choose configurations based on evidence, not guesswork.

8+ performance metrics

Save Engineering Time

Automated testing, synthetic questions, and parallel evaluation eliminate manual work.

80% time saved

From Upload to Optimized RAG in 5 Steps

Our guided evaluation process ensures you find the perfect configuration for your specific data and use case.

1

Upload Documents

Add up to 5 representative documents from your knowledge base.

PDF, Word, HTML, Markdown, or Text files

2

Configure Strategies

Select default configurations or customize embedding models and chunking.

Test up to 4 different approaches simultaneously

3

Run Evaluation

System generates test questions and evaluates each strategy's performance.

Real-time progress tracking and metrics

4

Analyze Results

Compare performance metrics and identify the winning configuration.

Visual dashboards with detailed breakdowns

5

Test in Sandbox

Validate with custom queries before building your production pipeline.

Interactive testing with real-world scenarios

Stop Guessing. Start Testing.

Join hundreds of teams who've optimized their RAG performance with data-driven evaluation. Test your first configuration in minutes.