[ 01 ]For teams
Give every team a clearer answer.
Bring together files, cloud storage, Confluence pages, and Jira issues. Give your teams a place to search, ask questions, and follow answers back to the evidence.
Bring your scattered enterprise knowledge together. Search it, ask questions, and get cited answers with sources you can check.
Powered by our proprietary filter-native vector technology
Meet SABLE, engineered for filtered search
Confluence launch plans, Jira release blockers, and Google Drive security reviews feed VectorAmp. The fictional Orion launch needs an SSO issue resolved and its security review completed, with citations to the evidence.
Bring together files, cloud storage, Confluence pages, and Jira issues. Give your teams a place to search, ask questions, and follow answers back to the evidence.
SABLE is the high-performance, filter-native vector search engine powering VectorAmp. It plans and applies filters before ANN traversal to keep large-scale, high-selectivity search efficient and predictable in cost and performance under load. Build on it using Python, TypeScript, Go, Ruby, Rust, Java, in the CLI, or the REST API and MCP server.
One platform, a single governed data layer, with two doors: a governed, no-code canvas for your team and our filter-native engine for your developers. Tell us your goals, and we'll show you the way.
VectorAmp brings ingestion, vector search, and AI answers together. Your teams get a straightforward way to explore their data. Your developers get the tools to build on it.
SABLE is our standalone, purpose-built vector database: filter-native, sharded, and tuned for the high-selectivity, permission-heavy queries compliance-focused teams actually run. Filters, permissions, and provenance are built into the engine from the start.
# filtered semantic searchfrom vectoramp import VectorAmp
client = VectorAmp(api_key="va_...")dataset = client.datasets.get("acme-prod")
results = dataset.search( text="migration plan risks", top_k=20, filters={"team": "platform", "region": "eu"}, advanced_filters=[{"field": "year", "op": "gte", "value": 2025}], include_documents=True,)Choose the files, pages, issues, or cloud objects your team needs. Manage ingestion and scheduled runs in one place.
Team sites & document libraries
Working files & shared folders
Documents, sheets & presentations
Code, pull requests & reviews
Repositories, merge requests & reviews
Files & objects in your buckets
Knowledge bases, spaces & pages
Projects, issues & discussions
Cloud buckets & object collections
Websites, pages & linked documents
PDFs, Office documents & more
A no-code canvas for your users and an SDK for your developers, both pointing to the same governed data layer, so everyone works from a unified set of access rules, an audit trail, and a single source of truth.
The revenue outlook has changed.[1] Update the valuation assumptions[2] using the latest company filing.[3]
Revenue outlook revised after the latest company update. The investment committee pack needs the new assumptions.
Select a source to inspect the evidence behind the answer.
SABLE, VectorAmp's filter-native vector database engine, is engineered to continuously enforce security with predictably low latency under heavy filtering and permission-scoped queries, with recall and cost you can tune explicitly and an SDK built for regulated production workloads.
region = EUyear = 2026Plan vector search around the requested metadata scope.
↓Relevant content, within your selected scope. Illustrates filtering, not measured ranking or latency.
See VectorAmp on your own data sources, with every answer permission-scoped and traceable to its source.
Spin up a SABLE index in five minutes: filter-native from the first query, with recall you can verify against your own data and transparent pricing with no surprises.