from agno.agent import Agent
from agno.document.chunking.recursive import RecursiveChunking
from agno.knowledge.pdf_url import PDFUrlKnowledgeBase
from agno.vectordb.pgvector import PgVector
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
knowledge_base = PDFUrlKnowledgeBase(
urls=["https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
vector_db=PgVector(table_name="recipes_recursive_chunking", db_url=db_url),
chunking_strategy=RecursiveChunking(),
)
knowledge_base.load(recreate=False) # 首次运行后注释此行
agent = Agent(
knowledge_base=knowledge_base,
search_knowledge=True,
)
agent.print_response("如何制作泰式咖喱?", markdown=True)