Demo Qwen 2.5 32B

Query a PgVector recipe knowledge base with Qwen 2.5 32B on Groq.

Groq retired the source’s Qwen-2.5-32b model in April 2025. Replace it with qwen/qwen3.6-27b. See Groq deprecations.

demo_qwen_2_5_32B.py

"""Run `uv pip install ddgs sqlalchemy pgvector pypdf openai groq` to install dependencies."""

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.groq import Groq
from agno.vectordb.pgvector import PgVector

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

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

knowledge = Knowledge(
    vector_db=PgVector(table_name="recipes", db_url=db_url),
)
# Add content to the knowledge
knowledge.insert(url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf")

agent = Agent(model=Groq(id="Qwen-2.5-32b"), knowledge=knowledge)
agent.print_response("How to make Thai curry?", markdown=True)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass

Run the Example

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Install dependencies

   uv pip install -U agno "psycopg[binary]" beautifulsoup4 groq openai pgvector pypdf sqlalchemy
   
3. Export your API keys

   Mac/Linux

   export GROQ_API_KEY="your_groq_api_key_here"
   export OPENAI_API_KEY="your_openai_api_key_here"
   

   $Env:GROQ_API_KEY="your_groq_api_key_here"
   $Env:OPENAI_API_KEY="your_openai_api_key_here"
   
4. Run PgVector

   macOS / Linux

   docker run -d \
     -e POSTGRES_DB=ai \
     -e POSTGRES_USER=ai \
     -e POSTGRES_PASSWORD=ai \
     -e PGDATA=/var/lib/postgresql \
     -v pgvolume:/var/lib/postgresql \
     -p 5532:5432 \
     --name pgvector \
     agnohq/pgvector:18
   

   docker run -d `
     -e POSTGRES_DB=ai `
     -e POSTGRES_USER=ai `
     -e POSTGRES_PASSWORD=ai `
     -e PGDATA=/var/lib/postgresql `
     -v pgvolume:/var/lib/postgresql `
     -p 5532:5432 `
     --name pgvector `
     agnohq/pgvector:18
   
5. Replace Qwen 2.5 32B

   Replace Qwen-2.5-32b with qwen/qwen3.6-27b in the saved file.

6. Run the example

   Save the code above as demo_qwen_2_5_32B.py, then run:

   python demo_qwen_2_5_32B.py
   

Full source: cookbook/90_models/groq/reasoning/demo_qwen_2_5_32B.py