(knowledge source) Failed to upsert documents: Expected Embedings to be non-empty list or numpy array, got [] in upsert

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from crewai import Agent, Crew, Process, Task, LLM
from crewai.project import CrewBase, agent, crew, task
from crewai_tools import ScrapeWebsiteTool
from dotenv import load_dotenv
import os
from typing import Optional
from crewai.knowledge.source.crew_docling_source import CrewDoclingSource

@CrewBase
class Toolkit:
“”“Toolkit crew for Customer Support”“”

agents_config = 'config/agents.yaml'
tasks_config = 'config/tasks.yaml'
user_query: Optional[str] = None

llm = LLM(
    model="ollama/gemma3:4b", # run !ollama list to see models you have
    temperature=0, 
    api_key=""
)
def __init__(self):
    self.scapper_tool = ScrapeWebsiteTool("https://docs.console.elementai.com/")

    # Initialize CrewDoclingSource with storage
    self.content_source = CrewDoclingSource(
        file_paths=[
            "cli_reference_manual.html",
        ]
    )

@agent
def support_agent(self) -> Agent:
    return Agent(
        config=self.agents_config['support_agent'],
        verbose=True,
        llm=self.llm,
        embedder={
        "provider": "ollama",
        "config": {
            "model": "nomic-embed-text",
            "api_key": "ABCD",
            }
        }
    )

@agent
def question_answering_agent(self) -> Agent:
    return Agent(
        config=self.agents_config['question_answering_agent'],
        verbose=True,
        llm=self.llm,
        embedder={
        "provider": "ollama",
        "config": {
            "model": "nomic-embed-text",
            "api_key": "ABCD",
            }
        }
    )
@task
def support_agent_task(self) -> Task:
    return Task(
        config=self.tasks_config['support_agent_task'],
        agent=self.support_agent()
    )

@task
def question_answering_task(self) -> Task:
    return Task(
        config=self.tasks_config['question_answering_task'],
        agent=self.question_answering_agent(),
    )

@crew
def customer_support_crew(self) -> Crew:
    """Creates the Customer Support crew"""

    return Crew(
        agents=self.agents, # Automatically created by the @agent decorator
        tasks=self.tasks, # Automatically created by the @task decorator
        process=Process.sequential,
        verbose=True,
        knowledge_sources=[
            self.content_source
        ], 
        embedder={
        "provider": "ollama",
        "config": {
            "model": "nomic-embed-text",
            "api_key": "ABCD",
            }
        }
    )

I get this error
Failed to upsert documents: Expected Embedings to be non-empty list or numpy array, got in upsert.

I am wondering how embedding model and gemma runs when I start crewai ? They should run on different ports right?