The Control Plane for Vector Retrieval

MANAGE
RETRIEVAL CHANGE

Version, branch, and promote across your entire retrieval stack. Embeddings, storage, and vector DBs in one control plane.

Start Shipping SafelySee How It Works
user@decompressed:~$
# 1. Create a staging branch
branch = client.datasets.branch(
  source="prod-docs",
  name="test-new-model"
)

# 2. Test new embedding model
branch.embed(model="text-embedding-3-large")
metrics = branch.evaluate(queries=eval_set)

# 3. Promote or rollback
if metrics.recall > 0.92:
  branch.promote(to="production")
else:
  branch.discard()
PineconeQdrantAWS

ONE CONTROL PLANE
FOR YOUR RETRIEVAL STACK

Safe Rollouts

Branch your retrieval config, test changes, compare metrics, then promote or rollback. No more YOLO deploys.

Instant Rollback

Retrieval quality dropped? Revert to any previous state in seconds. Your old embeddings are always there.

Vendor Freedom

Decouple your data from any single vector DB. Switch Pinecone to Qdrant without regenerating vectors.

Experiment Tracking

Compare retrieval configs side-by-side. Know exactly which model, chunking, storage, and index produced each result.

Full Observability

See which retrieval config is live, when it was deployed, and the full lineage of every change.

Reproducible Pipelines

Pin model + chunking + dataset version. Reproduce any past retrieval behavior exactly.

THE PAIN
IN PRODUCTION RETRIEVAL

Safe Deploys

Test retrieval changes in staging before production. Compare metrics, then promote with confidence.

Instant Recovery

Retrieval quality dropped after a model change? Rollback in seconds. No re-embedding required.

Vendor Freedom

Store embeddings once, push to any vector DB. Switch providers without regenerating vectors.

Current State
With Decompressed
Retrieval regressions
No baseline, hard to compare
Retrieval regressions
Side-by-side metrics before deploy
Model rollouts
YOLO to production
Model rollouts
Branch → test → promote workflow
Rollbacks
Re-embed from scratch
Rollbacks
One-click revert, instant
Vendor lock-in
Embeddings tied to one DB
Vendor lock-in
Decouple & materialize anywhere
Observability
Which version is live?
Observability
Full deploy history & audit
Reproducibility
"It worked last week"
Reproducibility
Pinned model + chunking + data
For Teams Running Retrieval in Production

ONE CONTROL PLANE
FOR YOUR WHOLE STACK

Start Shipping SafelySee How It Works
Branch & ComparePromote or RollbackAny Vector DB