vectorizer_config makes no sense #2

from weaviate.classes.config import Property, DataType, Configure, Tokenization

vdb_client.collections.create(
    name="episodic_memory",
    description="Collection containing historical chat interactions and takeaways.",
    vectorizer_config=[
        Configure.NamedVectors.text2vec_ollama(
            name="title_vector",
            source_properties=["title"],
            api_endpoint="http://host.docker.internal:11434",  # If using Docker, use this to contact your local Ollama instance
            model="nomic-embed-text",
        )
    ],
    properties=[
        Property(name="conversation", data_type=DataType.TEXT),
        Property(name="context_tags", data_type=DataType.TEXT_ARRAY),
        Property(name="conversation_summary", data_type=DataType.TEXT),
        Property(name="what_worked", data_type=DataType.TEXT),
        Property(name="what_to_avoid", data_type=DataType.TEXT),

    ]
)