# String to Vector

### Description
Converts string values into their corresponding vector embeddings.
Given an embedding model and a pooling method, the input strings are encoded into vectors, which can then be used for vector operations like vector similarity search.

### Input
- `SOURCE [STRING]`: a list of strings

### Output
- `RESULT [VECTOR]`: the vector embeddings corresponding to the input strings

### Parameters
- `Embedding model`: the embedding model used for creating the vector embeddings
  - [all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2)
  - [snowflake-arctic-embed-l-v2.0](https://huggingface.co/Snowflake/snowflake-arctic-embed-l-v2.0)
- `Pooling mode`: how the embedded parts/tokens of each input string are combined into one vector
  - 'MEAN': the average value of each dimension across all tokens is taken; captures the overall meaning
  - `MAX`: the highest value for each dimension across all tokens is taken; highlights the most prominent features