​
代码

cookbook/agent_concepts/vector_dbs/lance_db.py
from agno.agent import Agent
from agno.knowledge.pdf_url import PDFUrlKnowledgeBase
from agno.vectordb.lancedb import LanceDb

vector_db = LanceDb(
    table_name="recipes",
    uri="/tmp/lancedb",  # 您可以更改此路径以将数据存储在其他位置
)

knowledge_base = PDFUrlKnowledgeBase(
    urls=["https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
    vector_db=vector_db,
)

knowledge_base.load(recreate=False)  # 首次运行后注释掉此行

agent = Agent(knowledge=knowledge_base, show_tool_calls=True)
agent.print_response("How to make Tom Kha Gai", markdown=True)

​
用法

1

创建虚拟环境

打开 Terminal 并创建一个 python 虚拟环境。

python3 -m venv .venv
source .venv/bin/activate
2

安装库

pip install -U lancedb pypdf openai agno
3

运行 Agent

python cookbook/agent_concepts/vector_dbs/lance_db.py