vLLM

from agno.knowledge.embedder.vllm import VLLMEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector

# Local mode
embedder = VLLMEmbedder(
    id="intfloat/e5-mistral-7b-instruct",
    dimensions=4096,
    enforce_eager=True,
    vllm_kwargs={
        "disable_sliding_window": True,
        "max_model_len": 4096,
    },
)

# Use with Knowledge
knowledge = Knowledge(
    vector_db=PgVector(
        db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
        table_name="vllm_embeddings",
        embedder=embedder,
    ),
)