I have been trying to create a vector database for RAG model. But the Python script just gets stuck trying to add the documents

This is the code that adds the documents to the database

def add_to_chroma(chunks: list[Document]):
    # Load the existing database.
    db = Chroma(
        persist_directory=CHROMA_PATH, embedding_function=get_embedding_function()
    )

    # Calculate Page IDs.
    chunks_with_ids = calculate_chunk_ids(chunks)

    # Add or Update the documents.
    existing_items = db.get(include=[])  # IDs are always included by default
    existing_ids = set(existing_items["ids"])
    print(f"Number of existing documents in DB: {len(existing_ids)}")

    # Only add documents that don't exist in the DB.
    new_chunks = []
    for chunk in chunks_with_ids:
        if chunk.metadata["id"] not in existing_ids:
            new_chunks.append(chunk)

    if len(new_chunks):
        print(f" Adding new documents: {len(new_chunks)}")
        new_chunk_ids = [chunk.metadata["id"] for chunk in new_chunks]
        db.add_documents(new_chunks, ids=new_chunk_ids)  ## Code gets stuck here
        db.persist()
    else:
        print(" No new documents to add")

And this is the error I get when I kill the process
Error

Iam using the Ollama embeddings

from langchain_community.embeddings.ollama import OllamaEmbeddings

def get_embedding_function():
    
    embeddings = OllamaEmbeddings(model="nomic-embed-text")
    return embeddings

And Ollama seems to be running fine