import asyncio
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.knowledge.reader.docling_reader import DoclingReader
from agno.vectordb.pgvector import PgVector
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
# Create a knowledge base with docling reader
knowledge = Knowledge(
vector_db=PgVector(
table_name="docling_documents",
db_url=db_url,
)
)
# Create an agent with the knowledge base
agent = Agent(
knowledge=knowledge,
search_knowledge=True,
)
async def main():
await knowledge.ainsert(
path="cookbook/07_knowledge/testing_resources/research_paper.tex",
reader=DoclingReader(output_format="text"),
)
await agent.aprint_response(
"What are the key findings of the Advanced Machine Learning Techniques for Natural Language Processing paper?",
markdown=True,
)
if __name__ == "__main__":
asyncio.run(main())
