Code
from pathlib import Path
from agno.agent import Agent
from agno.knowledge.docx import DocxKnowledgeBase
from agno.vectordb.pgvector import PgVector
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
# Create a knowledge base with the DOCX files from the data/docs directory
knowledge_base = DocxKnowledgeBase(
path=Path("data/docs"),
vector_db=PgVector(
table_name="docx_documents",
db_url=db_url,
),
)
# Load the knowledge base
knowledge_base.load(recreate=False)
# Create an agent with the knowledge base
agent = Agent(
knowledge=knowledge_base,
search_knowledge=True,
)
# Ask the agent about the knowledge base
agent.print_response("Ask me about something from the knowledge base", markdown=True)
Usage
1
Create a virtual environment
Open the
Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
python3 -m venv .venv
.venv/scripts/activate
2
Install libraries
pip install -U sqlalchemy 'psycopg[binary]' pgvector python-docx agno
3
Run PgVector
docker run -d \
-e POSTGRES_DB=ai \
-e POSTGRES_USER=ai \
-e POSTGRES_PASSWORD=ai \
-e PGDATA=/var/lib/postgresql/data/pgdata \
-v pgvolume:/var/lib/postgresql/data \
-p 5532:5432 \
--name pgvector \
agnohq/pgvector:16
4
Run Agent
python cookbook/agent_concepts/knowledge/docx_kb.py
python cookbook/agent_concepts/knowledge/docx_kb.py