ChromaDB Vector Database

Setup

uv pip install chromadb

Example

agent_with_knowledge.py

import asyncio

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

# Create Knowledge Instance with ChromaDB
knowledge = Knowledge(
    name="Basic SDK Knowledge Base",
    description="Agno 2.0 Knowledge Implementation with ChromaDB",
    vector_db=ChromaDb(
        collection="vectors", path="tmp/chromadb", persistent_client=True
    ),
)

asyncio.run(
    knowledge.ainsert(
        name="Recipes",
        url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf",
        metadata={"doc_type": "recipe_book"},
    )
)

# Create and use the agent
agent = Agent(knowledge=knowledge)
agent.print_response("List down the ingredients to make Massaman Gai", markdown=True)

# Delete operations examples
vector_db = knowledge.vector_db
vector_db.delete_by_name("Recipes")
# or
vector_db.delete_by_metadata({"user_tag": "Recipes from website"})

For hosted ChromaDB (Chroma Cloud)

from chromadb.config import Settings

vector_db = ChromaDb(
    collection="vectors",
    settings=Settings(
        chroma_api_impl="chromadb.api.fastapi.FastAPI",
        chroma_server_host="your-tenant-id.api.trychroma.com",
        chroma_server_http_port=443,
        chroma_server_ssl_enabled=True,
        chroma_client_auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider",
        chroma_client_auth_credentials="your-api-key"
    )
)

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

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

# Create knowledge base
knowledge = Knowledge(
    vector_db=vector_db,
)

# Create and use the agent
agent = Agent(knowledge=knowledge)

if __name__ == "__main__":
    # Comment out after first run
    asyncio.run(
        knowledge.ainsert(url="https://docs.agno.com/introduction/agents.md")
    )

    # Create and use the agent
    asyncio.run(
        agent.aprint_response("What is the purpose of an Agno Agent?", markdown=True)
    )

Use ainsert() and aprint_response() methods with asyncio.run() for non-blocking operations in high-throughput applications.

ChromaDB has a batch size limit due to SQLite constraints. When inserting documents that exceed this limit, Agno automatically splits them into smaller batches. The batch size is auto-detected from ChromaDB’s server configuration.You can also set batch_size to override the auto-detected value.

ChromaDb Params

Qdrant Hybrid Search ChromaDB

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Additional Resources

ChromaDB Vector Database

Setup

Example

For hosted ChromaDB (Chroma Cloud)

Async Support ⚡

ChromaDb Params

​Setup

​Example

​For hosted ChromaDB (Chroma Cloud)

Async Support ⚡

​ChromaDb Params

Setup

Example

For hosted ChromaDB (Chroma Cloud)

ChromaDb Params