# Hybrid search with custom vector embeddings for query

**URL:** <https://forum.weaviate.io/t/hybrid-search-with-custom-vector-embeddings-for-query/22166>\
**Category:** Support\
**Created:** [November 27, 2025, 5:38am UTC](https://forum.weaviate.io/t/hybrid-search-with-custom-vector-embeddings-for-query/22166 "2025-11-27T05:38:41Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![pawwi](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/pawwi/32/3900_2.png) [@pawwi](https://forum.weaviate.io/u/pawwi)\
**Post date:** [November 27, 2025, 5:38am UTC](https://forum.weaviate.io/t/hybrid-search-with-custom-vector-embeddings-for-query/22166/1 "2025-11-27T05:38:41Z")

</div>

### **Description**

I’m using a custom vectorizer that generates multi-vector embeddings (i.e., a 2D array of vectors) and storing them in a named vector field. When using the `nearVector` operator, everything works fine with the multi-vector format.

However, when I attempt to use the `hybrid` search with the same multi-vector format, it doesn’t seem to accept the 2D embedding array. My goal is to perform a hybrid search using both a text query and my custom multi-vector embedding.

Is hybrid search currently compatible with multi-vector embeddings in Weaviate? Or am I missing a specific configuration or usage requirement?

### **Server Setup**

- **Weaviate version:** `1.31.0`

- **Vector configuration:** Custom vectorizer with multi-vector embeddings enabled on a named vector field

### **Query Example**

graphql

```auto
{
  Get {
    Article(
      limit: 5
      hybrid: {
        query: "Text query"
        vector: [[], [], []] # multi-vector embedding
        targetVectors: ["embedding_text_vector"]
      }
    ) {
      title
      _additional {
        score
      }
    }
  }
}

```

Any guidance on whether this is supported—or how to make it work—would be greatly appreciated.

---

<div class="post-metadata">

**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:** [November 27, 2025, 3:05pm UTC](https://forum.weaviate.io/t/hybrid-search-with-custom-vector-embeddings-for-query/22166/2 "2025-11-27T15:05:21Z")

</div>

Hi @pawwi,

Unfortunately, this is not supported yet. However this can be a great feature request.

Could you please submit this as feature request?

> **[weaviate/weaviate](https://github.com/weaviate/weaviate/issues)**
>
> Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of ...

Best regards,  
Mohamed Shahin  
Weaviate Support Engineer  
(Ireland, UTC±00:00/+01:00)