Private beta for teams that need AI answers with receipts

Kontexto.ai gives teams answers they can actually trust.

Kontexto turns documents, tickets, transcripts, and internal notes into cited AI answers — with retrieval quality, source links, and abstention patterns built for production workflows.

Every answer cites sources
No-evidence questions can abstain
BYOK and provider control

Early access for support, research, product, and agent teams building with private knowledge.

Built for grounded AI workflows

Move from "AI said so" to source-backed decisions

Kontexto is for teams that need retrieval quality, citation quality, tenant boundaries, and model control before they put AI answers in front of users.

Turn scattered knowledge into answerable context

Ingest PDFs, docs, URLs, call notes, and support logs so teams stop hunting across stale folders and disconnected systems.

Retrieve by meaning, not exact wording

Semantic retrieval finds the passage that answers the intent of a question, even when the user's words do not match the document.

Give every answer a trail of evidence

Responses include source citations and grounding signals, so users can verify the answer instead of blindly trusting a black box.

Keep customer knowledge isolated

Organization-scoped data, keys, and retrieval policies are designed for teams that cannot risk cross-tenant knowledge leakage.

Bring the models you trust

Connect hosted or internal models through the platform gateway while keeping provider choice, routing, and cost control in your hands.

Add trusted answers to any product surface

Use one API for ingestion, query, citations, and conversation memory across support widgets, internal tools, and AI agents.

#api

Ask once. Return the answer and the evidence.

Build support copilots, research tools, and internal agents that cite sources instead of handing users unsupported guesses.

kontexto.config.ts
// Initialize knowledge retrievalconst kontexto = new RAGEngine({  provider: "openai",  embedding: "text-embedding-3-large",  vectorStore: "pgvector",  documents: ["api-docs", "internal-wiki", "support-tickets"]});const session = await getCurrentSession();// Semantic search with contextconst response = await kontexto.query({  question: "How do I configure SSO?",  topK: 5,  includeMetadata: true});console.log(response.answer);// "SSO configuration requires setting up//  SAML 2.0 in your IdP. Here are the steps..."
REST API Citations Abstention-ready Document sync Team workspaces BYOK Support