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

# Weaviate Hybrid Search

## Code

```python cookbook/08_knowledge/vector_db/weaviate_db/weaviate_db_hybrid_search.py theme={null}
import typer
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.search import SearchType
from agno.vectordb.weaviate import Distance, VectorIndex, Weaviate
from rich.prompt import Prompt

vector_db = Weaviate(
    collection="recipes",
    search_type=SearchType.hybrid,
    vector_index=VectorIndex.HNSW,
    distance=Distance.COSINE,
    local=False,  # Set to True if using Weaviate Cloud and False if using local instance
    # Adjust alpha for hybrid search (0.0-1.0, default is 0.5), where 0 is pure keyword search, 1 is pure vector search
    hybrid_search_alpha=0.6,
)

knowledge_base = Knowledge(
    name="Weaviate Hybrid Search",
    description="A knowledge base for Weaviate hybrid search",
    vector_db=vector_db,
)

knowledge_base.insert(
    url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf",
)

def weaviate_agent(user: str = "user"):
    agent = Agent(
        user_id=user,
        knowledge=knowledge_base,
        search_knowledge=True,
    )

    while True:
        message = Prompt.ask(f"[bold] :sunglasses: {user} [/bold]")
        if message in ("exit", "bye"):
            break
        agent.print_response(message)

if __name__ == "__main__":
    typer.run(weaviate_agent)
```

## Usage

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U weaviate-client typer rich pypdf openai agno
    ```
  </Step>

  <Step title="Setup Weaviate">
    <CodeGroup>
      ```bash Weaviate Cloud theme={null}
      # 1. Create account at https://console.weaviate.cloud/
      # 2. Create a cluster and copy the "REST endpoint" and "Admin" API Key
      # 3. Set environment variables:
      export WCD_URL="your-cluster-url"
      export WCD_API_KEY="your-api-key"
      # 4. Set local=False in the code
      ```

      ```bash Local Development theme={null}
      # 1. Install Docker from https://docs.docker.com/get-docker/
      # 2. Run Weaviate locally:
      docker run -d \
          -p 8080:8080 \
          -p 50051:50051 \
          --name weaviate \
          cr.weaviate.io/semitechnologies/weaviate:1.28.4
      # 3. Set local=True in the code
      ```
    </CodeGroup>
  </Step>

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

  <Step title="Run Agent">
    ```bash theme={null}
    python cookbook/08_knowledge/vector_db/weaviate_db/weaviate_db_hybrid_search.py
    ```
  </Step>
</Steps>