> ## 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.

# Team with Knowledge Base

> Combine a team-level LanceDB knowledge search with a web-search member.

Attach Agno documentation to the team and give one member a web-search tool.

```python 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

cwd = Path(__file__).parent
tmp_dir = cwd.joinpath("tmp")
tmp_dir.mkdir(parents=True, exist_ok=True)

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"),
    ),
)

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

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__":
    agno_docs_knowledge.insert(url="https://docs.agno.com/llms-full.txt")
    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=your_openai_api_key_here
    ```
  </Step>

  <Step title="Run the team">
    ```bash theme={null}
    python team_with_knowledge.py
    ```
  </Step>
</Steps>

## Next Steps

| Task                                      | Guide                                                                      |
| ----------------------------------------- | -------------------------------------------------------------------------- |
| Give members separate knowledge tables    | [Distributed RAG with LanceDB](/knowledge/teams/distributed-rag-lancedb)   |
| Store distributed knowledge in PostgreSQL | [Distributed RAG with PgVector](/knowledge/teams/distributed-rag-pgvector) |
| Review team-level knowledge behavior      | [Teams with Knowledge](/knowledge/teams/overview)                          |