Platform buyers · API-first · EN/ES/DE

Vector search and grounded RAG inside your product

FluxVector is for engineering and platform teams that need multi-tenant collections, a clean query API, and answers grounded in customer content — not a consumer chat toy. Ship semantic search, product chatbots, and memory without standing up another vector cluster.

Open console API docs

Multi-tenant by design

Isolate collections per customer or workspace. Platform products keep tenant data scoped.

HyperSearch, not single-signal fluff

Multi-signal retrieval for fewer confident-wrong answers in production chatbots.

Memory engine

Persist useful context across sessions without leaking across tenants.

Widget + API

Drop a widget for marketing sites or call the API from your backend.

Who buys this

SaaS platforms embedding AI search or in-app assistants
Agencies productizing chatbots with client-specific knowledge
Internal platform teams replacing brittle FAQ search
Products shipping EN first that still need reliable retrieval for DE/ES users

Typical integration shape

// 1) Create collection for tenant
// 2) Upsert documents / chunks
// 3) Query with HyperSearch
// 4) Pass hits into your LLM prompt (grounded)

POST /v1/collections/{id}/query
{ "query": "cancellation policy", "top_k": 8 }

FAQ

Is this a consumer chatbot?

No. FluxVector is the retrieval/API layer. End-user bots for hotels/clinics are FluxChat on fluxsoftlabs.com.

Multi-tenant isolation?

Collections are scoped per workspace/tenant. Do not mix customer corpora in one collection.

Languages for this page?

EN, ES, and DE marketing pages. API and docs remain EN-first for developers.