> ## 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.

# S3 Content

This example shows how to add content from an Amazon S3 bucket to your knowledge base. This allows you to process documents stored in cloud storage without downloading them locally.

## Code

```python s3.py   theme={null}
import asyncio
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.knowledge.knowledge import Knowledge
from agno.knowledge.remote_content.remote_content import S3Content
from agno.vectordb.pgvector import PgVector

contents_db = PostgresDb(
    db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
    knowledge_table="knowledge_contents",
)

# Create Knowledge Instance
knowledge = Knowledge(
    name="Basic SDK Knowledge Base",
    description="Agno 2.0 Knowledge Implementation",
    contents_db=contents_db,
    vector_db=PgVector(
        table_name="vectors", db_url="postgresql+psycopg://ai:ai@localhost:5532/ai"
    ),
)

# Add from S3 bucket
asyncio.run(
    knowledge.add_content_async(
        name="S3 PDF",
        remote_content=S3Content(
            bucket_name="agno-public", key="recipes/ThaiRecipes.pdf"
        ),
        metadata={"remote_content": "S3"},
    )
)

agent = Agent(
    name="My Agent",
    description="Agno 2.0 Agent Implementation",
    knowledge=knowledge,
    search_knowledge=True,
    debug_mode=True,
)

agent.print_response(
    "What is the best way to make a Thai curry?",
    markdown=True,
)
```

## Usage

<Steps>
  <Step title="Install libraries">
    ```bash theme={null}
    pip install -U agno sqlalchemy psycopg pgvector boto3
    ```
  </Step>

  <Step title="Configure AWS credentials">
    Set up your AWS credentials using one of these methods:

    * AWS CLI: `aws configure`
    * Environment variables: `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`
    * IAM roles (if running on AWS infrastructure)
  </Step>

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

  <Step title="Run the example">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/knowledge/basic_operations/06_from_s3.py
      ```

      ```bash Windows theme={null}
      python cookbook/knowledge/basic_operations/06_from_s3.py
      ```
    </CodeGroup>
  </Step>
</Steps>

## Params

<Snippet file="s3-remote-content-params.mdx" />