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

# AI Recipe Creator Agent

## Overview

The Recipe Agent generates personalized recipe recommendations based on user inputs like ingredients, time, and dietary preferences. It relies on two recipe PDFs stored in a PgVector-powered knowledgebase for fast and efficient searches, then enhances suggestions with web searches using ExaTools.

## Implementation

Create a file `ai_recipe_creator_agent.py` with the following code:

```python ai_recipe_creator_agent.py theme={null}
from phi.agent import Agent
from phi.knowledge.pdf import PDFUrlKnowledgeBase
from phi.vectordb.pgvector import PgVector
from phi.tools.exa import ExaTools

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

knowledge_base = PDFUrlKnowledgeBase(
    urls=[
        "https://www.poshantracker.in/pdf/Awareness/MilletsRecipeBook2023_Low%20Res_V5.pdf",
        "https://www.cardiff.ac.uk/__data/assets/pdf_file/0003/123681/Recipe-Book.pdf",
    ],
    vector_db=PgVector(table_name="recipes", db_url=db_url),  # we are using PgVector here, you can also use other vector dbs
)
knowledge_base.load(recreate=False)

recipe_agent = Agent(
    name="RecipeGenie",
    knowledge_base=knowledge_base,
    search_knowledge=True,
    tools=[ExaTools()],
    markdown=True,
    instructions=[
        "Search for recipes based on the ingredients and time available from the knowledge base.",
        "Include the exact calories, preparation time, cooking instructions, and highlight allergens for the recommended recipes.",
        "Always search exa for recipe links or tips related to the recipes apart from knowledge base.",
        "Provide a list of recipes that match the user's requirements and preferences.",
    ],
)

recipe_agent.print_response(
    "I have potatoes, tomatoes, onions, garlic, ginger, and chicken. Suggest me a quick recipe for dinner", stream=True
)
```

## Usage

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

  <Step title="Install required libraries">
    ```bash theme={null}
    pip install phidata openai duckdb exa_py pypdf packaging
    pip install sqlalchemy pgvector
    pip install -U "psycopg[binary]"
    ```
  </Step>

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

  <Step title="Run PgVector using Docker">
    ```bash theme={null}
    docker run -d \
    -e POSTGRES_DB=ai \
    -e POSTGRES_USER=ai \
    -e POSTGRES_PASSWORD=ai \
    -e PGDATA=/var/lib/postgresql/data/pgdata \
    -v pgvolume:/var/lib/postgresql/data \
    -p 5532:5432 \
    --name pgvector \
    phidata/pgvector:16
    ```
  </Step>

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