Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
from agno.agent import Agent from agno.knowledge.knowledge import Knowledge from agno.models.litellm import LiteLLM from agno.vectordb.pgvector import PgVector 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=LiteLLM(id="gpt-4o"), knowledge=knowledge) agent.print_response("How to make Thai curry?", markdown=True)
Set up your virtual environment
uv venv --python 3.12 source .venv/bin/activate
uv venv --python 3.12 .venv\Scripts\activate
Set your API key
export LITELLM_API_KEY=xxx
Install dependencies
uv pip install -U litellm openai agno sqlalchemy psycopg pgvector pypdf
Run Agent
python cookbook/90_models/litellm/knowledge.py
Was this page helpful?