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Documentation Index

Fetch the complete documentation index at: https://docs.sonian.ai/llms.txt

Use this file to discover all available pages before exploring further.

Vision

Sonian exists to make company knowledge usable by AI. Scale AI helped make training data operational for modern models. Sonian does the same for knowledge in the age of retrieval and agents. We help teams turn scattered documents, internal content, and operational context into structured, retrieval-ready knowledge that powers high-quality RAG. Good models are no longer enough on their own. Real product quality depends on the quality of the knowledge layer behind them. Sonian gives teams the infrastructure to prepare, organize, and ship that knowledge into production.

Why Sonian matters

Sonian is valuable because strong AI products need more than a model endpoint. They need clean data ingestion, grounded retrieval, controllable agent behavior, and reliable deployment paths. With Sonian, teams can centralize knowledge, connect it to agents, and deliver more accurate answers across support, operations, internal search, and customer-facing AI experiences.

Get started building agents

Launch your first AI agent in three steps.

Quick start

Follow the guided setup to launch your first agent.

The agent building workflow

Create a datasource

Connect the sources your agent should use for grounded answers.

Upload files

Add documents, PDFs, and files your agent can retrieve from at runtime.

Configure your agent

Define behavior, model strategy, tools, and response rules.

Deploy

Deploy to production and monitor performance across channels.

Customize your agent

Shape your agent for your product, workflows, and support operations.

Agent settings

Control instructions, models, routing, and runtime behavior.

Embed widgets

Ship chat and form experiences directly into your product.

API reference

Integrate agents into your stack with the API.