> 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/knowledges/pdf-url-knowledge-base.md).

# PDF URL Knowledge Base

The **PDFUrlKnowledgeBase** reads **PDFs from urls**, converts them into vector embeddings and loads them to a vector database.

### [​](https://docs.phidata.com/knowledge/pdf-url#usage)Usage <a href="#usage" id="usage"></a>

We are using a local PgVector database for this example. [Make sure it’s running](https://docs.phidata.com/vectordb/pgvector)

```shell
pip install pypdf
```

knowledge\_base.py

```python
from bitca.knowledge.pdf import PDFUrlKnowledgeBase
from bitca.vectordb.pgvector import PgVector

knowledge_base = PDFUrlKnowledgeBase(
    urls=["pdf_url"],
    # Table name: ai.pdf_documents
    vector_db=PgVector(
        table_name="pdf_documents",
        db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
    ),
)
```

Then use the `knowledge_base` with an Agent:

agent.py

```python
from bitca.agent import Agent
from knowledge_base import knowledge_base

agent = Agent(
    knowledge=knowledge_base,
    search_knowledge=True,
)
agent.knowledge.load(recreate=False)

agent.print_response("Ask me about something from the knowledge base")
```

### [​](https://docs.phidata.com/knowledge/pdf-url#params)Params <a href="#params" id="params"></a>

| Parameter           | Type                                     | Default             | Description                                                                         |
| ------------------- | ---------------------------------------- | ------------------- | ----------------------------------------------------------------------------------- |
| `urls`              | `List[str]`                              | -                   | URLs for `PDF` files.                                                               |
| `reader`            | `Union[PDFUrlReader, PDFUrlImageReader]` | `PDFUrlReader()`    | A `PDFUrlReader` that converts the `PDFs` into `Documents` for the vector database. |
| `vector_db`         | `VectorDb`                               | -                   | Vector Database for the Knowledge Base.                                             |
| `num_documents`     | `int`                                    | `5`                 | Number of documents to return on search.                                            |
| `optimize_on`       | `int`                                    | -                   | Number of documents to optimize the vector db on.                                   |
| `chunking_strategy` | `ChunkingStrategy`                       | `FixedSizeChunking` | The chunking strategy to use.                                                       |