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

# Markdown Reader

The **Markdown Reader** processes Markdown files synchronously and converts them into documents that can be used with Agno's knowledge system.

## Code

```python examples/basics/knowledge/concepts/readers/overview/markdown_reader_sync.py theme={null}
from pathlib import Path

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.knowledge.reader.markdown_reader import MarkdownReader
from agno.vectordb.pgvector import PgVector

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

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

# Add Markdown content to knowledge base
knowledge.insert(
    path=Path("README.md"),
    reader=MarkdownReader(),
)

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

# Query the knowledge base
agent.print_response(
    "What can you tell me about this project?",
    markdown=True,
)
```

## Usage

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

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

  <Step title="Set environment variables">
    ```bash theme={null}
    export OPENAI_API_KEY=xxx
    ```
  </Step>

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

  <Step title="Run Agent">
    <CodeGroup>
      ```bash Mac theme={null}
      python examples/basics/knowledge/concepts/readers/overview/markdown_reader_sync.py
      ```

      ```bash Windows theme={null}
      python examples/basics/knowledge/concepts/readers/overview/markdown_reader_sync.py
      ```
    </CodeGroup>
  </Step>
</Steps>