Markdown Reader

The Markdown Reader processes Markdown files synchronously and converts them into documents that can be used with Agno’s knowledge system.

Code

markdown_reader.py

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,
)

Usage

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 \
  -v pgvolume:/var/lib/postgresql \
  -p 5532:5432 \
  --name pgvector \
  agnohq/pgvector:18

Run Agent

python markdown_reader.py

python markdown_reader.py

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Markdown Reader

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