> ## Documentation Index
> Fetch the complete documentation index at: https://spacesail.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Recursive Chunking

Recursive chunking is a method of splitting documents into smaller chunks by recursively applying a chunking strategy. This is useful when you want to process large documents in smaller, manageable pieces.

## Code

```python theme={null}
import asyncio
from agno.agent import Agent
from agno.knowledge.chunking.recursive import RecursiveChunking
from agno.knowledge.knowledge import Knowledge
from agno.knowledge.reader.pdf_reader import PDFReader
from agno.vectordb.pgvector import PgVector

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"

knowledge = Knowledge(
    vector_db=PgVector(table_name="recipes_recursive_chunking", db_url=db_url),
)

asyncio.run(knowledge.add_content_async(
    url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf",
    reader=PDFReader(
        name="Recursive Chunking Reader",
        chunking_strategy=RecursiveChunking(),
    ),
))

agent = Agent(
    knowledge=knowledge,
    search_knowledge=True,
)

agent.print_response("How to make Thai curry?", markdown=True)


```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install libraries">
    ```bash theme={null}
    pip install -U sqlalchemy psycopg pgvector agno
    ```
  </Step>

  <Snippet file="run-pgvector-step.mdx" />

  <Step title="Run Agent">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/knowledge/chunking/recursive_chunking.py
      ```

      ```bash Windows theme={null}
      python cookbook/knowledge/chunking/recursive_chunking.py
      ```
    </CodeGroup>
  </Step>
</Steps>

## Recursive Chunking Params

<Snippet file="chunking-recursive.mdx" />