# How To Combine Different Vectors With Exact Matching Text

**Required Knowledge**: Vectors, Encoding, Vector Search, Advanced Search\
**Audience**: Data scientists, Vector enthusiasts, Statisticians, Machine learning engineers\
**Reading time**: 3 minutes

Ensure that you have read [advanced search queries](/vector-ai-documentation/400-how-to-combine-different-vectors-to-search.md) before continuing below. 

Once you have constructed the multivector query, adding hybrid search (searching with exact text) is easy. Simply alter the endpoint to `advanced_hybrid_search` and then add 2 additional fields: the `text` and the `text_fields`. 

```python
vi.advanced_hybrid_search(
    collection_name=collection_name,
    multivector_query=multivector_query,
    text='sample_text',
    text_fields=["sample_text_field"])
```

If you want to increase the weight of exact text matching, you can alter `traditional_weight` parameter. 


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://learn.getvectorai.com/vector-ai-documentation/400-how-to-combine-different-vectors-with-exact-matching-text.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.