Managed search.
Full-text and hybrid search as a service, with relevance tuning and analyzers.
A managed search engine for full-text and hybrid retrieval — analyzers, synonyms and relevance tuning, optionally fused with vector search for results that understand meaning.
- Category
- Analytics
- Deployment
- Managed → air-gapped
- Governance
- IAM · encryption · audit
Three steps to running.
Tokenization, analyzers and synonyms over your documents and data.
Full-text plus optional vector fusion for meaning-aware results.
Boosts, rules and analyzers tuned to your domain.
Managed search, in full.
Tokenization, stemming, synonyms and faceting out of the box.
Blend keyword and vector scores for better relevance.
Boosts, rules and analyzers tuned to your domain.
Sharded and replicated for large indexes and high QPS.
Provision it in a few lines.
Every service is reachable from the same SDK, CLI and infrastructure-as-code — one identity, one bill, one audit trail across the whole catalog.
# Provision managed search on Aether Cloud
aether analytics create \
--service managed-search \
--name app \
--region us-1 \
--deploy managed # or vpc | on-prem | air-gappedAt a glance.
- Search
- Full-text + hybrid
- Relevance
- Boosts · rules · analyzers
- Scale
- Large indexes, high QPS
- Features
- Facets · synonyms · highlighting
- Fusion
- Keyword + vector
Built for real work.
Site and product search
Document and knowledge search
Log and observability search
On one model, not stitched together.
The usual stack runs managed search in one product, the model in another and the data in a third — and the seams between them are the cost. Aether Cloud runs it on the same platform that serves the model, governs your identity and deploys into your boundary, with the rest of the catalog one hop away.
No stitching a vector DB to one place, a warehouse to another and a model to a third — managed search sits next to the rest of the catalog, one identity, one bill.
The provider that runs Aether runs your managed search — so the data and the model never leave the same governed boundary to talk to each other.
Need a capability that isn’t here yet? The model writes and deploys it into the same boundary — the catalog is a starting point, not a ceiling.
Good to know.
Managed full-text and hybrid search — optionally fused with the vector store for semantic relevance.
Yes — hybrid ranking combines both for better results.
Yes — sharded and replicated for large indexes and high query rates.
Your boundary, your choice.
Pairs well with.
Managed Spark and distributed processing for large-scale transforms and ML feature pipelines.
Exactly-once streaming compute for real-time pipelines, enrichment and detection.
Visual and code-first pipelines with scheduling, lineage and schema management.
Governed dashboards and self-serve exploration over the warehouse and lake.
Run Managed search on Aether Cloud.
Full-text and hybrid search as a service, with relevance tuning and analyzers. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.