- Run:
uv pip install openai agno lancedb tantivy sqlalchemyto install the dependencies 2. Export your OPENAI_API_KEY 3. Run:cookbook/92_models/dashscope/knowledge_tools.pyto run the agent
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"""
Here is a tool with reasoning capabilities to allow agents to search and analyze information from a knowledge base.
1. Run: `uv pip install openai agno lancedb tantivy sqlalchemy` to install the dependencies
2. Export your OPENAI_API_KEY
3. Run: `cookbook/92_models/dashscope/knowledge_tools.py` to run the agent
"""
from agno.agent import Agent
from agno.knowledge.embedder.openai import OpenAIEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.models.dashscope import DashScope
from agno.tools.knowledge import KnowledgeTools
from agno.vectordb.lancedb import LanceDb, SearchType
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
# Create a knowledge containing information from a URL
agno_docs = Knowledge(
# Use LanceDB as the vector database and store embeddings in the `agno_docs` table
vector_db=LanceDb(
uri="tmp/lancedb",
table_name="agno_docs",
search_type=SearchType.hybrid,
embedder=OpenAIEmbedder(id="text-embedding-3-small"),
),
)
# Add content to the knowledge
agno_docs.insert(url="https://docs.agno.com/llms-full.txt")
knowledge_tools = KnowledgeTools(
knowledge=agno_docs,
enable_think=True,
enable_search=True,
enable_analyze=True,
add_few_shot=True,
)
agent = Agent(
model=DashScope(id="qwen-plus"),
tools=[knowledge_tools],
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
agent.print_response(
"How do I build a team of agents in agno?",
markdown=True,
stream=True,
)
Run the Example
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# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/90_models/dashscope
# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate
# Export relevant API keys
export OPENAI_API_KEY="***"
python knowledge_tools.py