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/sdkTry 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.