Valkey Async

import asyncio

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.valkey import ValkeyDB
from agno.vectordb.search import SearchType

# Initialize Valkey Vector DB
vector_db = ValkeyDB(
    index_name="agno_docs",
    host="localhost",
    port=6379,
    search_type=SearchType.vector,
)

# Build a Knowledge base backed by Valkey
knowledge = Knowledge(
    name="My Valkey Knowledge Base",
    description="Knowledge base using Valkey as the vector store",
    vector_db=vector_db,
)


async def main():
    # Add content (async)
    await knowledge.add_content_async(
        name="Recipes",
        url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf",
        metadata={"category": "recipe_book"},
        skip_if_exists=True,
    )

    # Query with an Agent (async)
    agent = Agent(knowledge=knowledge)
    await agent.aprint_response("List down the ingredients to make Massaman Gai", markdown=True)


if __name__ == "__main__":
    asyncio.run(main())