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

# from_documents

Creates a CyborgVectorStore instance from a list of LangChain Document objects.

```python theme={null}
@classmethod
from_documents(
    documents: List[Document],
    embedding: Union[str, Embeddings, SentenceTransformer],
    **kwargs
) -> CyborgVectorStore
```

### Parameters

| Parameter   | Type                                          | Description                                |
| ----------- | --------------------------------------------- | ------------------------------------------ |
| `documents` | `List[Document]`                              | List of LangChain Document objects         |
| `embedding` | `Union[str, Embeddings, SentenceTransformer]` | Embedding model or model name              |
| `**kwargs`  | `Any`                                         | Additional arguments passed to from\_texts |

### Returns

`CyborgVectorStore`: Initialized vector store with documents added

### Example Usage

```python theme={null}
from langchain_core.documents import Document
from cyborgdb_core import DBConfig

# Create documents
documents = [
    Document(
        page_content="Introduction to natural language processing",
        metadata={"source": "nlp_guide.pdf", "page": 1}
    ),
    Document(
        page_content="Tokenization and text preprocessing",
        metadata={"source": "nlp_guide.pdf", "page": 15}
    ),
    Document(
        page_content="Word embeddings and semantic similarity",
        metadata={"source": "nlp_guide.pdf", "page": 42}
    )
]

# Create store from documents
store = CyborgVectorStore.from_documents(
    documents=documents,
    embedding="sentence-transformers/all-mpnet-base-v2",
    index_name="nlp_documents",
    index_key=CyborgVectorStore.generate_key(),
    api_key="your-api-key",
    index_location=DBConfig("memory"),
    config_location=DBConfig("memory")
)
```