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

# Team with Knowledge Base

Create a team with a knowledge base. The team has access to Agno documentation and can combine that knowledge with web search.

## Code

```python cookbook/03_teams/05_knowledge/01_team_with_knowledge.py theme={null}
from pathlib import Path

from agno.agent import Agent
from agno.knowledge.embedder.openai import OpenAIEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.websearch import WebSearchTools
from agno.vectordb.lancedb import LanceDb, SearchType

# Setup paths for knowledge storage
cwd = Path(__file__).parent
tmp_dir = cwd.joinpath("tmp")
tmp_dir.mkdir(parents=True, exist_ok=True)

# Initialize knowledge base with vector database
agno_docs_knowledge = Knowledge(
    vector_db=LanceDb(
        uri=str(tmp_dir.joinpath("lancedb")),
        table_name="agno_docs",
        search_type=SearchType.hybrid,
        embedder=OpenAIEmbedder(id="text-embedding-3-small"),
    ),
)

# Add content to knowledge base
agno_docs_knowledge.insert(url="https://docs.agno.com/llms-full.txt")

# Create web search agent for supplementary information
web_agent = Agent(
    name="Web Search Agent",
    role="Handle web search requests",
    model=OpenAIResponses(id="gpt-5-mini"),
    tools=[WebSearchTools()],
    instructions=["Always include sources"],
)

# Create team with knowledge base integration
team_with_knowledge = Team(
    name="Team with Knowledge",
    members=[web_agent],
    model=OpenAIResponses(id="gpt-5-mini"),
    knowledge=agno_docs_knowledge,
    show_members_responses=True,
    markdown=True,
)

if __name__ == "__main__":
    team_with_knowledge.print_response("Tell me about the Agno framework", stream=True)
```

## Usage

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno lancedb openai ddgs
    ```
  </Step>

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

  <Step title="Run the agent">
    ```bash theme={null}
    python cookbook/03_teams/05_knowledge/01_team_with_knowledge.py
    ```
  </Step>
</Steps>