OpenAI Embedder

from agno.knowledge.embedder.openai import OpenAIEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector

embedder = OpenAIEmbedder()
embedding = embedder.get_embedding(
    "The quick brown fox jumps over the lazy dog."
)

print(f"First values: {embedding[:5]}")
print(f"Dimensions: {len(embedding)}")

knowledge = Knowledge(
    vector_db=PgVector(
        db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
        table_name="openai_embeddings",
        embedder=embedder,
    ),
    max_results=2,
)

knowledge.insert(
    name="Fox fact",
    text_content="The quick brown fox jumps over the lazy dog.",
)
results = knowledge.search("Which animal jumps?")
print(results[0].content if results else "No results found")