"""
LangDB Embedder
===============
Demonstrates LangDB embeddings and knowledge insertion.
"""
import asyncio
from agno.knowledge.embedder.langdb import LangDBEmbedder
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="langdb_embeddings",
embedder=LangDBEmbedder(),
),
max_results=2,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
async def main() -> None:
embeddings = LangDBEmbedder().get_embedding("Embed me")
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())
