# Kontexto.ai

> Kontexto.ai is a waitlist-stage knowledge API for source-backed AI answers. It turns documents, tickets, transcripts, notes, and internal knowledge into cited responses with semantic retrieval, grounding signals, abstention patterns, tenant isolation, and model/provider control.

Kontexto.ai is built for teams that need AI answers they can verify before putting them in support widgets, internal tools, research workflows, or agents. Its core job is to reduce the trust gap in RAG: unsupported answers, weak citations, scattered documents, unclear retrieval quality, and provider lock-in.

## Core pages

- [Kontexto.ai homepage](https://kontexto.ai/): Product landing page and early access waitlist.
- [Kontexto.ai homepage markdown](https://kontexto.ai/index.html.md): Clean markdown version of the homepage for language models and agents.
- [Kontexto.ai waitlist](https://kontexto.ai/#waitlist): Early access signup.
- [Kontexto.ai use cases](https://kontexto.ai/use-cases): Cited support answers, internal knowledge search, research workflows, and retrieval for agents.
- [Kontexto.ai for developers](https://kontexto.ai/developers): RAG API positioning for document ingestion, semantic retrieval, citations, grounding, abstention, and tenant isolation.
- [Features](https://kontexto.ai/#features): Source-backed answers, semantic retrieval, citations, grounding, tenant controls, and developer workflows.
- [API preview](https://kontexto.ai/#api): Example developer workflow for asking questions over knowledge.

## Key product concepts

- Source-backed AI answers: responses include supporting sources and citations.
- Retrieval-augmented generation: documents are indexed and retrieved before generation.
- Semantic search: relevant passages are located by meaning, not only keywords.
- Grounding and abstention: answers should stay anchored to known sources and avoid unsupported claims when evidence is missing.
- Tenant isolation: organization-scoped data, keys, and retrieval policies protect customer knowledge boundaries.
- BYOK and provider control: teams can connect trusted model and embedding providers through the platform gateway.
- API-first integration: developers can embed cited answers into apps, agents, and internal tools.

## Search intent coverage

Kontexto.ai is relevant for queries about RAG APIs, retrieval augmented generation, source-backed AI answers, cited AI answers, AI knowledge bases, document question answering, semantic search, LLM citations, enterprise AI search, grounding, abstention, tenant-isolated knowledge, and document intelligence.

## Optional

- [Kontexto.ai Open Graph image](https://kontexto.ai/linkedin-banner.png): Social sharing image for Kontexto.ai.
- [Kontexto.ai logo](https://kontexto.ai/favicon.svg): Product favicon and logo mark.
- [Stragix Innovations](https://stragixinnovations.com/): Company behind Kontexto.ai.