VectorAmp / About

Filter-aware retrieval, built for governed intelligence.

VectorAmp is a data intelligence platform backed by SABLE, our high-performance vector database index. We help teams connect scattered business data, retrieve the right context, and build AI workflows with citations instead of vibes.

[ 01 — Thesis ]

What we believe — and what we ship.

We do not think of VectorAmp as a chat UI with a database attached. The retrieval layer, the data plane, and the answer experience have to be designed together.

01

Filters are not a bolt-on.

Most vector databases were retrofitted with metadata filtering after the index already existed. VectorAmp is built around governed retrieval: predicates, tenancy, and citations are part of the query path instead of a cleanup step after nearest-neighbor search.

02

Latency has to stay predictable.

A retrieval product is only useful if users can trust it under real workloads. We care about tail latency, ingestion backpressure, and explainable failures as much as the happy-path demo.

03

The answer layer and index layer belong together.

Embedding, retrieval, ranking, citations, and generation are not independent chores. VectorAmp is designed as one system so product teams can connect sources, search them, and build AI workflows without stitching together a dozen brittle services.

04

Cost is an engineering constraint.

A technically correct query plan that burns too much compute is still a bug. We design for predictable usage, explicit limits, and the operational visibility teams need before they scale.

05

Developer experience is infrastructure.

SDKs, APIs, CLI behavior, errors, and docs are part of the system. If developers cannot understand what happened, the database did not do its job.

[ 02 — Platform ]

The pieces we obsess over.

No vanity metrics here. These cards describe product surfaces and engineering focus areas, not invented customer counts or compliance badges.

Retrieval core
SABLE
Filter-aware vector search and retrieval planning
Data sources
Files+ APIs
Upload, ingest, parse, chunk, and cite business data
Interfaces
UI+ SDKs
Web app, API, SDKs, MCP, and automation surfaces
Operating principle
Ship
Small team, direct feedback, production-minded defaults
[ 03 — Story ]

One plan: make company data usable.

Foundation

A database thesis

VectorAmp starts from the premise that modern AI systems need governed retrieval, not a generic vector index bolted onto an application stack.

Core

SABLE

The SABLE index is our high-performance vector database layer for filter-aware retrieval at large scale.

Product

Intelligence workspace

The product wraps ingestion, datasets, citations, search, and AI-assisted workflows around that core.

Go-to-market

Built for real teams

We are focused on teams that need their own data to answer questions safely, quickly, and with enough context to trust the result.

[ 04 — Focus ]

Engineering-heavy, by design.

VectorAmp is early and technical. We would rather be precise about what exists than decorate the site with fake offices, fake founders, or fake compliance claims.

Database core
SABLE
Filter-aware vector indexing, shard orchestration, persistence, and query performance.
Data plane
Ingest
Files, source connectors, parsing, chunking, embeddings, and provenance.
Application layer
Intelligence
Search, citations, canvas workflows, APIs, and team-facing controls.
Go-to-market
Founder-led
Direct conversations with teams pushing retrieval into production.
DB
Database systems
VECTOR INDEX · QUERY PLANNING

SABLE is the center of gravity: filter-aware indexing, shard routing, persistence, and retrieval performance.

Focus: SABLE · Control plane
AI
Applied intelligence
RAG · CITATIONS · WORKFLOWS

VectorAmp connects source data to answers with citations and workflow surfaces that make retrieval useful inside product teams.

Focus: Intelligence · Search
DX
Developer experience
SDKs · API · MCP

The platform is meant to be built on. SDKs, docs, API behavior, and operational clarity are treated as first-class product work.

Focus: SDKs · Docs
[ Talk to us ]

Care about retrieval the way we do?

If you are trying to make internal knowledge, product data, or customer-facing answers reliable, we want to hear what you are building.

CoreSABLE
ProductVectorAmp Intelligence
InterfacesWeb · API · SDK · MCP
InfraAWS-managed services
ApproachPrecise claims only