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"""
Hugging Face Embedder
=====================

Demonstrates Hugging Face custom embeddings and knowledge insertion.
"""

import asyncio

from agno.knowledge.embedder.huggingface import HuggingfaceCustomEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector

# ---------------------------------------------------------------------------
# Create Knowledge Base
# ---------------------------------------------------------------------------
knowledge = Knowledge(
    vector_db=PgVector(
        db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
        table_name="huggingface_embeddings",
        embedder=HuggingfaceCustomEmbedder(dimensions=1024),
    ),
    max_results=2,
)


# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
async def main() -> None:
    embeddings = HuggingfaceCustomEmbedder().get_embedding(
        "The quick brown fox jumps over the lazy dog."
    )
    print(f"Embeddings: {embeddings[:5]}")
    print(f"Dimensions: {len(embeddings)}")

    await knowledge.ainsert(path="cookbook/07_knowledge/testing_resources/cv_1.pdf")


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

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/07_knowledge/embedders

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

# Optiona: Run PgVector (needs docker)
./cookbook/scripts/run_pgvector.sh

python huggingface_embedder.py