# Does every property with skip\_vectorization=False get a vector?

**URL:** <https://forum.weaviate.io/t/does-every-property-with-skip-vectorization-false-get-a-vector/9208>\
**Category:** General\
**Created:** [December 13, 2024, 1:36am UTC](https://forum.weaviate.io/t/does-every-property-with-skip-vectorization-false-get-a-vector/9208 "2024-12-13T01:36:22Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![moruga123](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/moruga123/32/598_2.png) [@moruga123](https://forum.weaviate.io/u/moruga123)\
**Post date:** [December 13, 2024, 1:36am UTC](https://forum.weaviate.io/t/does-every-property-with-skip-vectorization-false-get-a-vector/9208/1 "2024-12-13T01:36:23Z")

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Do all properties with skip vectorizatin=False get their own vector (which is a lot of data). Or, does the text data in those properties get concatenated such there is only one vector that reflects data from all of the skip\_vectorization=False properties?

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**Author:** ![Shahin](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/shahin/32/7944_2.png) [@Shahin](https://forum.weaviate.io/u/Shahin)\
**Post date:** [December 13, 2024, 6:07am UTC](https://forum.weaviate.io/t/does-every-property-with-skip-vectorization-false-get-a-vector/9208/2 "2024-12-13T06:07:03Z")

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Good morning @moruga123,

When using a vectorizer for the entire collection (without named vectors configuration), the vectorizer processes all non-skipped properties together into a single vector, representing the object in the vector space. This means they are processed as part of a single object vector.

**Meaning of an object in a vector space:**

> **[Vector Search | Weaviate](https://weaviate.io/developers/weaviate/concepts/search/vector-search)**
>
> Vector search is a similarity-based search using vector embeddings, or vectors. Vector search also referred to as "semantic search" due to its ability to find semantically similar objects.

However, if you choose to use named vectors, which allows for explicit configuration of different vectorizers for each property, there will be distinct vector spaces for each property. Each property gets its own vectors as a “named vector.” This configuration allows for more control and separate vector representations for different properties within an object.

**Named Vectors**

> **[Vector Search | Weaviate](https://weaviate.io/developers/weaviate/concepts/search/vector-search#multiple-object-vectors)**
>
> Vector search is a similarity-based search using vector embeddings, or vectors. Vector search also referred to as "semantic search" due to its ability to find semantically similar objects.

**How to configure Named Vectors**

> **[Manage collections | Weaviate](https://weaviate.io/developers/weaviate/manage-data/collections#define-multiple-named-vectors)**
>
> Every object in Weaviate belongs to exactly one collection. Use the examples on this page to manage your collections.

I hope this helps! Have a great weekend ahead! 🌟

Best regards,  
Mohamed Shahin,  
Weaviate Support Engineer

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<div class="post-metadata">

**Author:** ![moruga123](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/moruga123/32/598_2.png) [@moruga123](https://forum.weaviate.io/u/moruga123)\
**Post date:** [December 13, 2024, 5:18pm UTC](https://forum.weaviate.io/t/does-every-property-with-skip-vectorization-false-get-a-vector/9208/3 "2024-12-13T17:18:12Z")

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Suppose my collection has 4 TEXT properties called A, B, C, D. Suppose skip\_vectorization=False for A and B. I would like to understand how just one vector is created for those. Are the text values from A and B concatenated together with “\n” (for example) and then that string is passed to the vectorizer?

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<div class="post-metadata">

**Author:** ![DudaNogueira](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/dudanogueira/32/7846_2.png) [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)\
**Post date:** [December 13, 2024, 7:12pm UTC](https://forum.weaviate.io/t/does-every-property-with-skip-vectorization-false-get-a-vector/9208/4 "2024-12-13T19:12:24Z")

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hi @moruga123 !!

The end result: Weaviate will concatenate your properties values and collection name (optionally the property name too) into one big string and generate a vector out of it.

**Before Named Vectors** , you only had one vector per object. And this is how you can define a collection, considering your example:

```python
client.collections.delete("MyCollection")
collection = client.collections.create(
    "MyCollection",
    properties=[
        wvc.config.Property(name="propertya", data_type=wvc.config.DataType.TEXT, skip_vectorization=True),
        wvc.config.Property(name="propertyb", data_type=wvc.config.DataType.TEXT, skip_vectorization=True),
        wvc.config.Property(name="propertyc", data_type=wvc.config.DataType.TEXT, vectorize_property_name=True, skip_vectorization=False),
        wvc.config.Property(name="propertyd", data_type=wvc.config.DataType.TEXT, vectorize_property_name=False, skip_vectorization=False),
    ],
    vectorizer_config=wvc.config.Configure.Vectorizer.text2vec_openai(
        vectorize_collection_name=True,
        base_url="https://webhook.site/93943f1e-3a96-47cb-af60-4b981b1be009",

    )
)
collection.data.insert({"propertya": "value A", "propertyb": "value B", "propertyc": "value C", "propertyd": "value D"})

```

This will be the exact output Weaviate will send to OpenAi in order to vectorize that object:

```json
{
  "input": [
    "My Collection propertyc value C value D"
  ],
  "model": "text-embedding-3-small",
  "dimensions": 1536
}

```

Note in this payload:

- We have the collection name.
- We have property name `propertyc`, property value `value C`
- We don’t have `propertya` nor `propertyb` because we have defined skip\_vectorization
- We only have the value of `Value D`, because we set to do not vectorize this property name

Now, with the adventure of named vectors, you can have multiple vectors per objects, generated using different properties, from different models.

This example from above, with an additional named vector, can be declared as

```python
client.collections.delete("MyCollection")
collection = client.collections.create(
    "MyCollection",
    properties=[
        wvc.config.Property(name="propertya", data_type=wvc.config.DataType.TEXT),
        wvc.config.Property(name="propertyb", data_type=wvc.config.DataType.TEXT),
        wvc.config.Property(name="propertyc", data_type=wvc.config.DataType.TEXT),
        wvc.config.Property(name="propertyd", data_type=wvc.config.DataType.TEXT),
    ],
    vectorizer_config=[
        wvc.config.Configure.NamedVectors.text2vec_openai(
            base_url="https://webhook.site/93943f1e-3a96-47cb-af60-4b981b1be009",
            name="default",
            source_properties=["propertya", "propertyb", "propertyc"],
            vectorize_collection_name=True,
            model="text-embedding-3-large"
        ),
        wvc.config.Configure.NamedVectors.text2vec_openai(
            name="property_a_vector",
            source_properties=["propertya",],
            vectorize_collection_name=True,
            model="text-embedding-3-small",
        )
    ]
)
collection.data.insert({"propertya": "value A", "propertyb": "value B", "propertyc": "value C", "propertyd": "value D"})

```

If you want to inspect the generated output closely, one tip I can give is to define the base url of the vectorizer to a free service eg. [http://webhook.site](http://webhook.site), like so:

```python
...
        wvc.config.Configure.NamedVectors.text2vec_openai(
            base_url="https://webhook.site/93943f1e-3a96-47cb-af60-4b981b1be222",
            ...
        ),
...

```

Let me know if this helps 🙂