> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Knowledge

> Answer questions from a PgVector knowledge base with Claude on Vertex AI.

```python knowledge.py theme={null}
"""Run `uv pip install ddgs sqlalchemy pgvector pypdf anthropic openai` to install dependencies."""

from agno.agent import Agent
from agno.knowledge.embedder.openai import OpenAIEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.models.vertexai.claude import Claude
from agno.vectordb.pgvector import PgVector

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

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

knowledge = Knowledge(
    vector_db=PgVector(
        table_name="recipes",
        db_url=db_url,
        embedder=OpenAIEmbedder(),
    ),
)
# Add content to the knowledge
knowledge.insert(url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf")

agent = Agent(
    model=Claude(id="claude-sonnet-4@20250514"),
    knowledge=knowledge,
)
agent.print_response("How to make Thai curry?", markdown=True)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass
```

## Run the Example

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno "anthropic[vertex]" "psycopg[binary]" beautifulsoup4 openai pgvector pypdf sqlalchemy
```

**2. Export environment variables**

```bash Mac/Linux theme={null}
export ANTHROPIC_VERTEX_PROJECT_ID="your_anthropic_vertex_project_id_here"
export CLOUD_ML_REGION="your_cloud_ml_region_here"
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:ANTHROPIC_VERTEX_PROJECT_ID="your_anthropic_vertex_project_id_here"
$Env:CLOUD_ML_REGION="your_cloud_ml_region_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Authenticate with Google Cloud**

Sign in with Application Default Credentials:

```bash theme={null}
gcloud auth application-default login
```

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

**4. Run the example**

Save the code above as `knowledge.py`, then run:

```bash theme={null}
python knowledge.py
```

Full source: [cookbook/90\_models/vertexai/claude/knowledge.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/vertexai/claude/knowledge.py)


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