VectorAmp
VectorAmp Intelligence Platform × Powered by SABLE

Ask questions across all your corporate data.
Get straightforward answers you can prove.

VectorAmp transforms scattered enterprise data into an easy-to-use, searchable, governed, permission-scoped platform that securely delivers accurate, defensible results your team can trace directly to the source.

SABLE vector coreGoverned data retrievalFilter-aware searchCited intelligence
Intelligence Platform · cited answer
[ 01 ]For teams

Turn governed company data into AI answers you can verify.

Connect your documents, apps, databases, and storage, then build semantic search, RAG assistants, and intelligence workflows on a governed layer that is cited, permission-aware, and audit-ready from day one.

Files
+ sources
RBAC
workspace controls
Cited
answers
[ 02 ]For developers

Build on a vector database engineered for filtered workloads.

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.

Shard
aware
Filter
pushdown
SDK
friendly
[ 04 — Platform story ]

From scattered data to audit-ready AI, in five governed stages.

One governed platform spans the entire arc: connect your sources, index with access and residency rules baked in, search and reason over cited sources with filters applied before retrieval, then automate downstream workflows. Governance is enforced at every stage, not added at the end.

Stage 01
Connect
Native connectors for the systems data already lives in. Upload files, crawl a site, or pull from S3, Google Drive, GCS, Confluence, and Jira.
Stage 02
Index
Filter-native indexing stamps every result with source, role, region, and timestamp at write time, so permissions and residency become enforceable filters as soon as data is queried.
Stage 03
Search
Hybrid retrieval combines dense vector and sparse keyword search with reranking and citation by default. SABLE pre-gates by applying filters before ANN traversal, keeping narrow, permission-scoped queries predictable as the corpus grows.
Stage 04
Reason
RAG, agents, retained memory, and chat run over your indexed corpus with each answer scoped to the user's access, backed by receipts, and logged end-to-end so you can reconstruct who asked what and which sources were used.
Stage 05
Automate
Trigger workflows: alerts, summaries, ticket routing, scheduled briefings, agent actions.
SSABLEThe vector engine underneath VectorAmp

Most AI platforms wrap a generic vector store built on legacy architectures. VectorAmp built its own.

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 query path
Fastpath
predicate planning · top-k retrieval
Recall controls
Tuned
index parameters · query budget
Cost
Scoped
workload sizing · storage tiers
Scale
Sharded
large corpora · horizontal routing
main.pySABLE · Python SDK
# 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,)
[ 06 — Sources ]

Connect the systems you already run.

Native connectors sync in real time and carry each system's roles and permissions across systems, so source metadata becomes an enforceable filter at query time.

Fi
File upload
Wb
Web crawler
S3
Amazon S3
GC
Google Cloud Storage
Dr
Google Drive
Co
Confluence
Ji
Jira
More on the way
[ 07 — Two products. One platform. ]

Different audiences. Same engine.

VectorAmp · Intelligence Platform

Connect, search, and reason over your enterprise data.

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.

  • Cited semantic search across connected sourcesplatform
  • RAG & chat assistants over your corpusworkflows
  • Document & video intelligence pipelinesmedia
  • Role-based access control (RBAC), scoped API keys, immutable audit logs, and tenant-scoped retrieval that never crosses a customer boundarygovernance
SABLE · Vector Database

A filter-native vector database for large-scale, permission-scoped search.

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.

  • Predicate-aware query planning before ANN traversallatency
  • Filter pushdown, hybrid, rerankingsearch
  • Python · TypeScript · Go · REST · MCPsdks
  • Run SABLE as a managed cloud offering today. Self-hosted deployment in your own VPC will be released by September 1st, 2026, to keep regulated data within your security and residency boundary.deploy
[ For teams ]

Put governed, cited, audit-ready AI to work on your enterprise data.

See VectorAmp on your own data sources, with every answer permission-scoped and traceable to its source.

[ For developers ]

Build on the engine that powers VectorAmp.

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.