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Documentation Index

Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt

Use this file to discover all available pages before exploring further.

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Setup

pip install chromadb

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Example

agent_with_knowledge.py
import typer
from rich.prompt import Prompt
from typing import Optional

from agno.agent import Agent
from agno.knowledge.pdf_url import PDFUrlKnowledgeBase
from agno.vectordb.chroma import ChromaDb

knowledge_base = PDFUrlKnowledgeBase(
    urls=["https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
    vector_db=ChromaDb(collection="recipes"),
)

def pdf_agent(user: str = "user"):
    run_id: Optional[str] = None

    agent = Agent(
        run_id=run_id,
        user_id=user,
        knowledge_base=knowledge_base,
        use_tools=True,
        show_tool_calls=True,
        debug_mode=True,
    )
    if run_id is None:
        run_id = agent.run_id
        print(f"Started Run: {run_id}\n")
    else:
        print(f"Continuing Run: {run_id}\n")

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

if __name__ == "__main__":
    # Comment out after first run
    knowledge_base.load(recreate=False)

    typer.run(pdf_agent)

Async Support ⚡

ChromaDB also supports asynchronous operations, enabling concurrency and leading to better performance.

async_chroma_db.py
# install chromadb - `pip install chromadb`

import asyncio

from agno.agent import Agent
from agno.knowledge.pdf_url import PDFUrlKnowledgeBase
from agno.vectordb.chroma import ChromaDb

# Initialize ChromaDB
vector_db = ChromaDb(collection="recipes", path="tmp/chromadb", persistent_client=True)

# Create knowledge base
knowledge_base = PDFUrlKnowledgeBase(
    urls=["https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
    vector_db=vector_db,
)

# Create and use the agent
agent = Agent(knowledge=knowledge_base, show_tool_calls=True)

if __name__ == "__main__":
    # Comment out after first run
    asyncio.run(knowledge_base.aload(recreate=False))

    # Create and use the agent
    asyncio.run(agent.aprint_response("How to make Tom Kha Gai", markdown=True))
Use aload() and aprint_response() methods with asyncio.run() for non-blocking operations in high-throughput applications.

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ChromaDb Params

ParameterTypeDefaultDescription
collectionstr-The name of the collection to use.
embedderEmbedderOpenAIEmbedder()The embedder to use for embedding document contents.
distanceDistancecosineThe distance metric to use.
pathstr"tmp/chromadb"The path where ChromaDB data will be stored.
persistent_clientboolFalseWhether to use a persistent ChromaDB client.

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Developer Resources