Now in Public Beta

CI/CD for RAG Pipelines

Stop hallucinations before they reach production. Automatically test retrieval accuracy on every data update.

No credit card required · 14-day free trial

Data Update
Synthetic Q&A
Retrieval Test
Quality Gate
Production

Trusted by ML teams at

Acme CorpNebula AIDataForgeVectorLabsCortex

GenAI in Production is Terrifying

Deploying RAG updates without testing is like pushing code without CI. Here's what keeps ML teams up at night.

Bad Data = Hallucinations

New documents can break your RAG system silently. One bad chunk and your AI starts confidently lying to users.

No Testing Standards

Unlike code, there's no CI/CD for your knowledge base. You're deploying data changes blind.

Manual QA Doesn't Scale

You can't manually test every data update. As your knowledge base grows, so does your risk.

The Solution

Automated Quality Gates for Your RAG Pipeline

GoragOps plugs into your existing pipeline and catches bad data before it causes harm.

Synthetic Test Generation

We auto-generate relevant questions from your new data. No manual test authoring required.

Retrieval Accuracy Testing

Test if your RAG retrieves the right context for every question, with precision and recall metrics.

Automatic Deployment Blocking

Block bad data before it reaches production. Only quality-verified updates go live.

Ship RAG Updates with Confidence

Four simple steps from data update to safe production deployment.

01

Connect Your Pipeline

Integrate with your existing RAG stack. Works with LangChain, LlamaIndex, Pinecone, Weaviate, and more.

02

Push Data Updates

Trigger tests on every document update via Git push, API call, or webhook integration.

03

Automatic Testing

We generate synthetic queries from your data and test retrieval quality automatically.

04

Quality Gate

Pass = Deploy to production. Fail = Block deployment and alert your team immediately.

Everything You Need to Ship RAG Safely

A complete testing platform designed specifically for RAG pipelines.

Synthetic Question Generation

AI-generated test cases derived directly from your documents. Comprehensive coverage without manual effort.

Retrieval Accuracy Scoring

Measure context relevance and completeness with detailed precision and recall metrics.

Regression Detection

Catch quality drops before production. Compare retrieval performance across data versions.

CI/CD Integrations

Native support for GitHub Actions, GitLab CI, Jenkins, and CircleCI. Fits into your existing workflow.

Vector DB Support

Works with Pinecone, Weaviate, Chroma, Qdrant, Milvus, and more vector databases out of the box.

Framework Agnostic

LangChain, LlamaIndex, Haystack, or your custom stack. GoragOps works with any RAG framework.

Works With Your Stack

Native integrations with the tools and platforms you already use.

OP
OpenAI
AN
Anthropic
PI
Pinecone
WE
Weaviate
CH
Chroma
LA
LangChain
LL
LlamaIndex
GI
GitHub
GI
GitLab
AW
AWS
GC
GCP
AZ
Azure

Integrate in Minutes

Add GoragOps to your CI/CD pipeline with a single workflow file.

rag-ci.yml
1# .github/workflows/rag-ci.yml
2name: RAG Pipeline CI
3on:
4 push:
5 paths: ['docs/**', 'knowledge/**']
6
7jobs:
8 test-rag:
9 runs-on: ubuntu-latest
10 steps:
11 - uses: goragops/rag-test-action@v1
12 with:
13 api_key: ${{ secrets.GORAGOPS_API_KEY }}
14 vector_db: pinecone
15 threshold: 0.85

Catch Issues Before Your Users Do

Real results from teams that test their RAG pipelines.

95%
Reduction in RAG-related incidents

Teams using GoragOps see dramatic drops in production hallucinations.

10x
Faster data update deployment

Automated testing replaces manual QA cycles, shipping updates in minutes.

100%
Test coverage on data changes

Every document update is automatically tested before reaching production.

Trusted by AI Teams

Hear from engineers who ship RAG updates with confidence.

"GoragOps caught a critical retrieval regression that would have caused hallucinations for thousands of users. It's now a non-negotiable part of our pipeline."
SC
Sarah Chen
ML Engineer at Nebula AI
"We went from manual QA taking days to fully automated testing in minutes. The synthetic question generation is incredibly accurate."
MR
Marcus Rivera
Head of AI at DataForge
"Before GoragOps, every data update was a gamble. Now we deploy with confidence knowing our retrieval quality is verified."
PP
Priya Patel
Staff Engineer at VectorLabs

Simple, Transparent Pricing

Start free. Scale as your RAG pipeline grows.

Starter

Free

For individuals and small experiments.

  • 1,000 tests/month
  • 1 pipeline
  • Community support
  • Basic analytics
Most Popular

Pro

$99/mo

For teams shipping RAG to production.

  • 10,000 tests/month
  • 5 pipelines
  • Priority support
  • Advanced analytics
  • Regression alerts
  • Custom thresholds

Enterprise

Custom

For organizations with advanced needs.

  • Unlimited tests
  • Unlimited pipelines
  • SSO & SAML
  • SLA guarantee
  • Dedicated support
  • Custom integrations

Stop Shipping Broken RAG Updates

Get started in 5 minutes. No credit card required.

Or book a demo with our team.