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

# Deep Research with File Search (Interactions)

Ground the Deep Research agent on your own documents. Create a File Search store, upload documents, then pass the store name to `file_search_store_names`. The agent searches that store alongside the public web.

In production, create and populate the store once offline and reference it by name at query time.

## Code

```python cookbook/90_models/google/gemini_interactions/deep_research_file_search.py theme={null}
import tempfile
import time
from pathlib import Path

from agno.agent import Agent
from agno.models.google import GeminiInteractions
from google import genai

client = genai.Client()

store = client.file_search_stores.create(
    config={"display_name": "agno-deep-research-demo"}
)
print(f"Created store: {store.name}")

sample = Path(tempfile.gettempdir()) / "agno_fy2025_summary.txt"
sample.write_text(
    "Agno FY2025 internal summary.\n"
    "Revenue grew 240% year over year, driven by AgentOS adoption.\n"
    "Headcount doubled. The flagship launch was the Antigravity integration.\n"
)

operation = client.file_search_stores.upload_to_file_search_store(
    file_search_store_name=store.name,
    file=str(sample),
    config={"display_name": "fy2025-summary"},
)
print("Uploading + indexing document...")
while not operation.done:
    time.sleep(3)
    operation = client.operations.get(operation)
print("Document indexed.")

agent = Agent(
    model=GeminiInteractions(
        agent="deep-research-preview-04-2026",
        thinking_summaries="auto",
        file_search_store_names=[store.name],
    ),
    markdown=True,
)

if __name__ == "__main__":
    agent.print_response(
        "Using our internal FY2025 summary, compare our reported growth drivers "
        "against current public news about the AI agent framework market."
    )
```

## Usage

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

  <Step title="Set your API key">
    ```bash theme={null}
    export GOOGLE_API_KEY=xxx
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "google-genai>=2.0" agno
    ```
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python cookbook/90_models/google/gemini_interactions/deep_research_file_search.py
    ```
  </Step>
</Steps>