Redis With Cohere Reranker

Demonstrates Redis vector retrieval with Cohere reranking.

"""
Redis With Cohere Reranker
==========================

Demonstrates Redis vector retrieval with Cohere reranking.
"""

from agno.agent import Agent
from agno.knowledge.embedder.openai import OpenAIEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.knowledge.reranker.cohere import CohereReranker
from agno.models.openai import OpenAIChat
from agno.vectordb.redis import RedisDB

# ---------------------------------------------------------------------------
# Create Knowledge Base
# ---------------------------------------------------------------------------
knowledge = Knowledge(
    vector_db=RedisDB(
        index_name="agno_docs",
        redis_url="redis://localhost:6379",
        embedder=OpenAIEmbedder(id="text-embedding-3-small"),
        reranker=CohereReranker(model="rerank-multilingual-v3.0"),
    ),
)


# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    model=OpenAIChat(id="gpt-5.2"),
    knowledge=knowledge,
    markdown=True,
)


# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
def main() -> None:
    knowledge.insert(name="Agno Docs", url="https://docs.agno.com/introduction.md")
    agent.print_response("What are Agno's key features?")


if __name__ == "__main__":
    main()

Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/07_knowledge/vector_db/redis_db

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python redis_db_with_cohere_reranker.py