Overview

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.chroma import ChromaDb

# Create a knowledge base
knowledge = Knowledge(
    vector_db=ChromaDb(
        collection="docs",
        path="tmp/chromadb",
        persistent_client=True,
    ),
)

# Load content
knowledge.insert(url="https://docs.agno.com/introduction.md")

# Create an agent that searches the knowledge base
agent = Agent(knowledge=knowledge, search_knowledge=True)
agent.print_response("What is Agno?")

def save_learning(title: str, insight: str) -> str:
    """Save a reusable insight to the knowledge base."""
    knowledge.insert(name=title, text_content=insight)
    return f"Saved: {title}"

agent = Agent(
    knowledge=knowledge,
    search_knowledge=True,
    tools=[save_learning],  # Agent can write to knowledge
)