VectaVecta

Choose the right plan for your team

Start with our free tier and scale as your RAG evaluation needs grow. No hidden fees, no vendor lock-in, just transparent pricing that grows with you.

Self-host for free, or ship today with our hosted plans.

We offer a hosted cloud with token-based pricing.

Tokens can be used for synthetic benchmark generation and LLM-as-a-judge evaluations.

One token is roughly one word.

Self-Hosted

Perfect for individual developers, hobbyists, and small projects

Free
  • Bring your own LLM
  • Advanced analytics
  • All integrations
  • Email support
View GitHub

Starter

For individuals and small teams getting started with RAG

$9/month
  • 10M tokens / month
  • Advanced analytics
  • All integrations
  • Priority support
Popular

Professional

For advanced hobbyists, startups, and production apps

$79/month
  • 100M tokens / month
  • Advanced analytics
  • Team collaboration
  • Priority support

Enterprise

For large organizations and mission-critical workflows

Custom
  • Unlimited tokens
  • Custom integrations
  • SLA support
  • SOC2, HIPAA, GDPR
Contact Sales

Frequently asked questions

Everything you need to know about Vecta.

Vecta is an MLOps platform designed to evaluate and improve Retrieval Augmented Generation (RAG) systems. It addresses the critical need for building trustworthy AI systems by providing actionable evaluations for multimodal agents, helping organizations reduce hallucinations, false positives, and ensure the reliability of their RAG applications before they reach production.

Comparisons

Direct answers for buyers comparing RAG evaluation platforms

See if Vecta is the right choice for your team

vecta vs weights and biases pricing

Is Vecta more cost-effective than Weights & Biases for RAG evaluation?

Yes. Weights & Biases prices its managed platform per seat or usage for broad experiment tracking, while Vecta's Professional plan is $79 per month with 100M tokens dedicated to RAG benchmark generation, evaluation dashboards, and team collaboration.

  • W&B ties RAG evaluation to its broader experiment suite and charges per seat or usage tier.
  • Vecta includes RAG-specific analytics, tokens, and collaboration in a flat monthly fee.

vecta vs mlflow for rag evaluation

When should teams pick Vecta instead of running MLflow on their own?

Choose Vecta when you need production-ready RAG benchmarks without maintaining MLflow yourself. MLflow demands teams own infrastructure, stitch together plugins, and babysit pipelines, while Vecta ships managed evaluations, precision/recall scoring, and compliance support out of the box.

  • MLflow requires engineers to maintain servers, artifacts, and evaluation jobs manually.
  • Vecta delivers synthetic benchmarks, security controls, and hosted reporting for regulated teams.

vecta vs deepeval or ragas

How does Vecta compare with DeepEval or RAGAS?

Vecta is built for cross-team deployment, while DeepEval and RAGAS are libraries for individual evaluations. Their metric packs demand manual orchestration and piecing together scripts, whereas Vecta runs your evals in the cloud and integrates with all vector databases and CI/CD flows for synthetic benchmarking and evaluations.

  • DeepEval and RAGAS leave teams to wire up storage, retries, and reporting on their own.
  • Vecta centralizes benchmarks, automated scoring, and enterprise support for rollout-ready RAG.

Ready to get started?

Join thousands of AI teams who trust Vecta to deliver reliable, production-ready RAG systems.

Start Free TrialContact Sales