Agent with Knowledge

Code

1from kern.agent import Agent
2from kern.knowledge.knowledge import Knowledge
3from kern.models.vercel import V0
4from kern.vectordb.pgvector import PgVector
5
6db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
7
8knowledge = Knowledge(
9    vector_db=PgVector(table_name="recipes", db_url=db_url),
10)
11# Add content to the knowledge
12knowledge.insert(
13    url="https://kern-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"
14)
15
16agent = Agent(model=V0(id="v0-1.0-md"), knowledge=knowledge)
17agent.print_response("How to make Thai curry?", markdown=True)

Usage

Set up your virtual environment

1uv venv --python 3.12
2source .venv/bin/activate

1uv venv --python 3.12
2.venv\Scripts\activate

Set your API key

1export V0_API_KEY=xxx

Install dependencies

1uv pip install -U sqlalchemy pgvector pypdf openai kern-ai

Run PgVector

1docker run -d \
2  -e POSTGRES_DB=ai \
3  -e POSTGRES_USER=ai \
4  -e POSTGRES_PASSWORD=ai \
5  -e PGDATA=/var/lib/postgresql/data/pgdata \
6  -v pgvolume:/var/lib/postgresql/data \
7  -p 5532:5432 \
8  --name pgvector \
9  agnohq/pgvector:16

Run Agent

1python cookbook/11_models/vercel/knowledge.py