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Architecture

VectorAmp provides a managed data intelligence platform for ingesting content, indexing it for retrieval, and producing grounded answers with source context.

Platform capabilities​

  • Data ingestion connects supported sources and keeps datasets synchronized.
  • Vector indexing stores and organizes embeddings for low-latency retrieval at scale.
  • Search and Intelligence combine semantic retrieval, filtering, reranking, and cited answers.
  • Management APIs and dashboard provide dataset, source, job, schedule, access, and usage controls.

Tenant isolation​

Organizations operate in isolated scopes. API keys, datasets, sources, searches, and Intelligence requests are evaluated within the caller's organization and permissions.

Data flow​

  1. Create a dataset and add content through an ingestion source, file upload, or vector API.
  2. VectorAmp processes and indexes the content.
  3. Applications query the dataset through the SDKs, CLI, REST API, or MCP endpoint.
  4. Search and Intelligence responses return relevant results and, where applicable, source context for verification.

For implementation guidance, continue with the Quickstart or explore the API reference.