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Code

async_redis_db.py
import asyncio

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.redis import RedisVectorDB

# Configure Redis connection
REDIS_URL = os.getenv("REDIS_URL", "redis://localhost:6379/0")
INDEX_NAME = os.getenv("REDIS_INDEX", "agno_cookbook_vectors")

# Initialize Redis Vector DB
vector_db = RedisVectorDB(
    index_name=INDEX_NAME,
    redis_url=REDIS_URL,
    search_type=SearchType.vector,  # try SearchType.hybrid for hybrid search
)

knowledge = Knowledge(
    vector_db=vector_db,
)

agent = Agent(knowledge=knowledge)


if __name__ == "__main__":
    asyncio.run(
        knowledge.add_content_async(
            url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"
        )
    )

    asyncio.run(agent.aprint_response("How to make Tom Kha Gai", markdown=True))

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U redis redisvl pypdf openai agno
3

Run Redis

docker run -d --name my-redis -p 6379:6379 -p 8001:8001 redis/redis-stack:latest
4

Run Agent

python async_redis_db.py