---
title: Grill — Managed Context Engine for RAG ⬣ POMA AI
description: Grill: end-to-end Managed Context Engine for RAG. Drop into any agent, copilot, or document-search product via MCP, SDK, or REST. Fully managed.
canonical: https://www.poma-ai.com/products/grill
generated: Markdown variant of the page above, built from the prerendered HTML
---
# Our end-to-end context engine

Managed Context Engine

Grill is POMA AI's Managed Context Engine — an end-to-end RAG pipeline you drop into your agent or application.

It's built for teams shipping agents, copilots, or document-search products who want best-in-class retrieval as a fully-managed service — we handle the devops and MLops. Plug into your agent through MCP, SDK, or REST — retrieval from day one.

[

Try for free

](https://console.poma-ai.com/?mode=register)[

Read the docs

](https://www.poma-ai.com/docs/)

## What it is

One pipeline, top to bottom.

Grill is a full, end-to-end RAG pipeline. Simply sign-up and you can start ingesting and querying documents immediately from your AI agent or pipeline, all using our best-in-class structural chunking and query system.

## How it works

Three stages, no glue code.

Getting started is easy. Simply sign up and, if you want, set up an organisation and project to share with others. You can start querying your documents in minutes.

-   Stage 01
    
    ### Ingest
    
    Documents can be ingested manually through the console, by URL, via our API, our SDK, our CLI, or directly in your AI agent using an MCP server.
    
-   Stage 02
    
    ### Chunk
    
    As documents are ingested, they are chunked and organised using our patented structurally-aware chunking technique.
    
-   Stage 03
    
    ### Query
    
    As soon as documents are chunked they become available for querying through our SDK, API, or MCP servers immediately.
    

## Getting started

Wire Grill into your agent.

Add the Grill MCP server to your agent's configuration, drop in your project key, and you're ready to query. No vector DB to provision, no embeddings to manage - just a context endpoint your agent can call.

Your agent's two core tools are ingest and query. Ingest accepts 50+ filetypes - PDFs, DOCX, HTML, images, spreadsheets, and more. Query searches across text, visual content, and tables, diagrams, embedded content, and more, and in any of our supported languages.

MCP server config

```
{
  "mcpServers": {
    "poma-grill": {
      "command": "npx",
      "args": [
        "-y",
        "@poma-ai/poma-grill-mcp",
        "-input",
        "-"
      ],
      "env": {
        "POMA_API_KEY": "sk_..."
      }
    }
  }
}
```

## Ready to try Grill?

Sign up and start in minutes

To get started all you need is to sign up, grab your Grill project key, and start ingesting your documents through your AI agent.

[

Try for free

](https://console.poma-ai.com/?mode=register)[

Read the docs

](https://www.poma-ai.com/docs/)