---
title: "DocumentWriter"
id: documentwriter
slug: "/documentwriter"
description: "Use this component to write documents into a Document Store of your choice."
---
# DocumentWriter
Use this component to write documents into a Document Store of your choice.
| | |
| --- | --- |
| **Most common position in a pipeline** | As the last component in an indexing pipeline |
| **Mandatory init variables** | `document_store`: A Document Store instance |
| **Mandatory run variables** | `documents`: A list of documents |
| **Output variables** | `documents_written`: The number of documents written (integer) |
| **API reference** | [Document Writers](/reference/document-writers-api) |
| **GitHub link** | https://github.com/deepset-ai/haystack/blob/main/haystack/components/writers/document_writer.py |
## Overview
`DocumentWriter` writes a list of documents into a Document Store of your choice. It’s typically used in an indexing pipeline as the final step after preprocessing documents and creating their embeddings.
To use this component with a specific file type, make sure you use the correct [Converter](../converters.mdx) before it. For example, to use `DocumentWriter` with Markdown files, use the `MarkdownToDocument` component before `DocumentWriter` in your indexing pipeline.
### DuplicatePolicy
The `DuplicatePolicy` is a class that defines the different options for handling documents with the same ID in a `DocumentStore`. It has four possible values:
- **NONE**: The default policy that relies on Document Store settings.
- **OVERWRITE**: Indicates that if a document with the same ID already exists in the `DocumentStore`, it should be overwritten with the new document.
- **SKIP**: If a document with the same ID already exists, the new document will be skipped and not added to the `DocumentStore`.
- **FAIL**: Raises an error if a document with the same ID already exists in the `DocumentStore`. It prevents duplicate documents from being added.
## Usage
### On its own
Below is an example of how to write two documents into an `InMemoryDocumentStore`:
```python
from haystack import Document
from haystack.document_stores.in_memory import InMemoryDocumentStore
from haystack.components.writers import DocumentWriter
documents = [
Document(content="This is document 1"),
Document(content="This is document 2"),
]
document_store = InMemoryDocumentStore()
document_writer = DocumentWriter(document_store=document_store)
document_writer.run(documents=documents)
```
### In a pipeline
Below is an example of an indexing pipeline that first uses the `SentenceTransformersDocumentEmbedder` to create embeddings of documents and then use the `DocumentWriter` to write the documents to an `InMemoryDocumentStore`:
```python
from haystack.pipeline import Pipeline
from haystack.document_stores.in_memory import InMemoryDocumentStore
from haystack.document_stores.types import DuplicatePolicy
from haystack.components.embedders import SentenceTransformersDocumentEmbedder
from haystack.components.writers import DocumentWriter
documents = [
Document(content="This is document 1"),
Document(content="This is document 2"),
]
document_store = InMemoryDocumentStore()
embedder = SentenceTransformersDocumentEmbedder()
document_writer = DocumentWriter(
document_store=document_store,
policy=DuplicatePolicy.NONE,
)
indexing_pipeline = Pipeline()
indexing_pipeline.add_component(instance=embedder, name="embedder")
indexing_pipeline.add_component(instance=document_writer, name="writer")
indexing_pipeline.connect("embedder", "writer")
indexing_pipeline.run({"embedder": {"documents": documents}})
```