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Turn anything into structured, queryable data

Ingest source documents through convert, split, shape, and extract — then query the result with natural language.

pip install aiqlornpm install @aiql.io/sdk

Try it

Create a workspace, ingest a document, and run your first query.

Built for document pipelines

Run the full ingestion pipeline, or call individual tools on demand.

Full ingestion pipeline

Run convert, split, shape, and extract as a single managed job.

Natural-language queries

Ask questions over ingested data with POST /queries.

Typed SDKs

Use the official Python and TypeScript clients instead of raw HTTP.

How it works

Four steps from source document to structured records.

Convert

Normalize a source document into clean, machine-readable text.

Split

Break the converted text into smaller chunks.

Shape

Infer the schema of the data from the chunks.

Extract

Pull out the specific fields and values you need.

Explore the ecosystem

Guides, cookbooks, SDKs, MCP tools, and the HTTP API.

Pipeline & tools

Recipes for convert, split, shape, extract, and managed ingestions.

Queries

Run natural-language queries over workspace data.

MCP

Connect AiQL to MCP-compatible clients and agents.

React components

Embed Canvas, Dashboard, Chat, Knowledge Graph, Source Preview, and Presentation in your app.

Introduction

Core concepts for workspaces, ingestions, queries, and tools.

Pricing

See how credits are billed across tools, ingestions, and queries.

Ready to build?

Go from an API key to your first query in a few minutes.