> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cyborg.co/llms.txt
> Use this file to discover all available pages before exploring further.

# from_texts

Creates a CyborgVectorStore instance from a list of texts.

```python theme={null}
@classmethod
from_texts(
    texts: List[str],
    embedding: Union[str, Embeddings, SentenceTransformer],
    metadatas: Optional[List[dict]] = None,
    **kwargs
) -> CyborgVectorStore
```

### Parameters

| Parameter   | Type                                          | Description                                               |
| ----------- | --------------------------------------------- | --------------------------------------------------------- |
| `texts`     | `List[str]`                                   | List of text strings to add to the store                  |
| `embedding` | `Union[str, Embeddings, SentenceTransformer]` | Embedding model or model name                             |
| `metadatas` | `Optional[List[dict]]`                        | *(Optional)* List of metadata dictionaries for each text  |
| `**kwargs`  | `Any`                                         | Additional arguments passed to constructor and add\_texts |

### Keyword Arguments

| Parameter         | Type        | Description                                     |
| ----------------- | ----------- | ----------------------------------------------- |
| `ids`             | `List[str]` | *(Optional)* IDs for the texts                  |
| `index_name`      | `str`       | Name of the index (default: "langchain\_index") |
| `index_key`       | `bytes`     | 32-byte encryption key (required)               |
| `api_key`         | `str`       | API key for CyborgDB (required)                 |
| `index_location`  | `DBConfig`  | Index storage location (required)               |
| `config_location` | `DBConfig`  | Config storage location (required)              |
| `index_type`      | `str`       | Index type (default: "ivfflat")                 |
| `metric`          | `str`       | Distance metric (default: "cosine")             |

### Returns

`CyborgVectorStore`: Initialized vector store with texts added

### Exceptions

<AccordionGroup>
  <Accordion title="ValueError">
    * Throws if index\_key is not provided
  </Accordion>
</AccordionGroup>

### Example Usage

```python theme={null}
from cyborgdb_core import DBConfig

# Create store from texts
texts = [
    "Introduction to Python",
    "Advanced Python techniques",
    "Python for data science"
]
metadatas = [
    {"chapter": 1}, 
    {"chapter": 2}, 
    {"chapter": 3}
]

store = CyborgVectorStore.from_texts(
    texts=texts,
    embedding="sentence-transformers/all-MiniLM-L6-v2",
    metadatas=metadatas,
    index_name="python_docs",
    index_key=CyborgVectorStore.generate_key(),
    api_key="your-api-key",
    index_location=DBConfig("s3", bucket="my-bucket"),
    config_location=DBConfig("s3", bucket="my-bucket")
)
```