YouTube Reader (Async)

The YouTube Reader allows you to extract transcripts from YouTube videos and convert them into vector embeddings for your knowledge base.

Code

examples/concepts/knowledge/readers/youtube_reader.py

import asyncio

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.knowledge.reader.youtube_reader import YouTubeReader
from agno.vectordb.pgvector import PgVector

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"

# Create Knowledge Instance
knowledge = Knowledge(
    name="YouTube Knowledge Base",
    description="Knowledge base from YouTube video transcripts",
    vector_db=PgVector(
        table_name="youtube_vectors", 
        db_url=db_url
    ),
)

# Create an agent with the knowledge
agent = Agent(
    knowledge=knowledge,
    search_knowledge=True,
)

async def main():
    # Add YouTube video content
    await knowledge.add_content_async(
        metadata={"source": "youtube", "type": "educational"},
        urls=[
            "https://www.youtube.com/watch?v=dQw4w9WgXcQ",  # Replace with actual educational video
            "https://www.youtube.com/watch?v=example123"   # Replace with actual video URL
        ],
        reader=YouTubeReader(),
    )

    # Query the knowledge base
    await agent.aprint_response(
        "What are the main topics discussed in the videos?",
        markdown=True
    )

if __name__ == "__main__":
    asyncio.run(main())

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   

2. Install libraries

   pip install -U youtube-transcript-api pytube sqlalchemy psycopg pgvector agno openai
   

3. Set environment variables

   export OPENAI_API_KEY=xxx
   

4. 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
   

5. Run Agent

   Mac

   python examples/concepts/knowledge/readers/youtube_reader.py
   

Params

Parameter	Type	Default	Description
video_url	str	Required	URL of the YouTube video to extract transcript from