# Prepare PDFs for a vector database as RAG chunks

**Use case:** 

Split PDFs into embedding-ready chunks that each carry the heading breadcrumb they sit under, so a retrieved chunk keeps its context.

## Input

```json
{
  "pdfUrls": [
    "https://arxiv.org/pdf/1706.03762"
  ],
  "outputFormat": "markdown",
  "extractTables": true,
  "chunkForRag": true,
  "chunkSize": 1200,
  "chunkOverlap": 120,
  "includeMetadata": true,
  "maxPagesPerDocument": 0
}
```

## Output

```json
{
  "filename": {
    "label": "File",
    "format": "string"
  },
  "pageCount": {
    "label": "Pages",
    "format": "integer"
  },
  "chunkCount": {
    "label": "Chunks",
    "format": "integer"
  },
  "chunks": {
    "label": "RAG chunks",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [PDF Text Extractor - Markdown, Tables & RAG Chunks](https://apify.com/readable_slash/pdf-text-extractor-structured) with a specific input configuration. Visit the [Actor detail page](https://apify.com/readable_slash/pdf-text-extractor-structured) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/readable_slash/pdf-text-extractor-structured.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
