Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
from pathlib import Path
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.knowledge.reader.markdown_reader import MarkdownReader
from agno.vectordb.pgvector import PgVector
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
knowledge = Knowledge(
vector_db=PgVector(
table_name="markdown_documents",
db_url=db_url,
),
)
# Add Markdown content to knowledge base
knowledge.insert(
path=Path("README.md"),
reader=MarkdownReader(),
)
agent = Agent(
knowledge=knowledge,
search_knowledge=True,
)
# Query the knowledge base
agent.print_response(
"What can you tell me about this project?",
markdown=True,
)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U markdown sqlalchemy psycopg pgvector agno openai
Set environment variables
export OPENAI_API_KEY=xxx
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 \
agno/pgvector:16
Run Agent
python examples/basics/knowledge/concepts/readers/overview/markdown_reader_sync.py
python examples/basics/knowledge/concepts/readers/overview/markdown_reader_sync.py