> For the complete documentation index, see [llms.txt](https://docs.projectbit.ca/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.projectbit.ca/documentation/chunking/fixed-size-chunking.md).

# Fixed Size Chunking

Fixed size chunking is a method of splitting documents into smaller chunks of a specified size, with optional overlap between chunks. This is useful when you want to process large documents in smaller, manageable pieces.

### [​](https://docs.phidata.com/chunking/fixed-size-chunking#usage)Usage <a href="#usage" id="usage"></a>

```python
from bitca.agent import Agent
from bitca.document.chunking.fixed import FixedSizeChunking
from bitca.knowledge.pdf import PDFUrlKnowledgeBase
from bitca.vectordb.pgvector import PgVector

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

knowledge_base = PDFUrlKnowledgeBase(
    urls=["https://bitca-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
    vector_db=PgVector(table_name="recipes_fixed_size_chunking", db_url=db_url),
    chunking_strategy=FixedSizeChunking(),
)
knowledge_base.load(recreate=False)  # Comment out after first run

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

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

### [​](https://docs.phidata.com/chunking/fixed-size-chunking#params)Params <a href="#params" id="params"></a>

| Parameter    | Type  | Default | Description                                         |
| ------------ | ----- | ------- | --------------------------------------------------- |
| `chunk_size` | `int` | `5000`  | The maximum size of each chunk.                     |
| `overlap`    | `int` | `0`     | The number of characters to overlap between chunks. |