> For the complete documentation index, see [llms.txt](https://learn.getvectorai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://learn.getvectorai.com/vector-search/searching-with-vector-ai/chunk-search/how-to-do-multivector-chunk-search.md).

# How To Do MultiVector Chunk Search

Sometimes we may want to add multiple vectors to our chunk search. 

For this, we can simply use the `/collection/advanced`\_`chunk_search` endpoint. We simply switch out the vector argument and change it into a multivector\_query. 

An example of constructing a chunkvector multi-vector query can be found below: 

```
multivector_query = {
    "chunkvector_1": {"vector": [0.2, 0.5, 0.1], "fields": ["test_chunkvector_"]},
    "chunkvector_2": {"vector": [0.5, 0.2, 0.001], "fields": ["test_chunkvector_"]},
}
```

The only difference between constructing a multivector query for advanced chunk search and advanced search is that the fields will contain `chunkvector` instead of `vector`.