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For the complete documentation index for agents and LLMs, see llms.txt.

MarkdownToDocument

Convert Markdown files into text documents your pipeline can query. Use this component in indexes to write Markdown file contents into a document store.


Key Features

  • Converts Markdown files to plain text documents.
  • Optionally converts table contents to a single line.
  • Displays a progress bar when processing files.
  • Accepts both file paths and ByteStream objects as input.
  • Attaches optional metadata to the resulting documents.
  • Integrates with FileTypeRouter and DocumentJoiner in multi-format indexing pipelines.

Configuration

  1. Drag the MarkdownToDocument component onto the canvas from the Component Library.
  2. Click the component to open the configuration panel.
  3. Configure the parameters as needed.

Connections

MarkdownToDocument accepts a list of file paths or ByteStream objects (sources) as input, along with optional metadata (meta). It outputs a list of converted documents (documents).

Typically, MarkdownToDocument receives Markdown files routed from FileTypeRouter and sends its output to DocumentJoiner, which combines documents from multiple converters before passing them downstream for splitting and indexing.

Usage Example

Using the Component in an Index

In this index, MarkdownToDocument receives Markdown files from FileTypeRouter and sends them to DocumentJoiner.

components:
FileTypeRouter:
type: haystack.components.routers.file_type_router.FileTypeRouter
init_parameters:
mime_types:
- text/text
- text/markdown
- application/json
additional_mimetypes:
TextFileToDocument:
type: haystack.components.converters.txt.TextFileToDocument
init_parameters:
encoding: utf-8
store_full_path: false
MarkdownToDocument:
type: haystack.components.converters.markdown.MarkdownToDocument
init_parameters:
table_to_single_line: false
progress_bar: true
store_full_path: false
DocumentJoiner:
type: haystack.components.joiners.document_joiner.DocumentJoiner
init_parameters:
join_mode: concatenate
weights:
top_k:
sort_by_score: true
DocumentSplitter:
type: haystack.components.preprocessors.document_splitter.DocumentSplitter
init_parameters:
split_by: word
split_length: 200
split_overlap: 0
split_threshold: 0
splitting_function:
respect_sentence_boundary: false
language: en
use_split_rules: true
extend_abbreviations: true
DocumentWriter:
type: haystack.components.writers.document_writer.DocumentWriter
init_parameters:
policy: NONE
document_store:
type: haystack_integrations.document_stores.opensearch.document_store.OpenSearchDocumentStore
init_parameters:
hosts:
index: aga-index
max_chunk_bytes: 104857600
embedding_dim: 768
return_embedding: false
method:
mappings:
settings:
create_index: true
http_auth:
use_ssl:
verify_certs:
timeout:
JSONConverter:
type: haystack.components.converters.json.JSONConverter
init_parameters:
jq_schema:
content_key:
extra_meta_fields:
store_full_path: false

connections:
- sender: FileTypeRouter.text/text
receiver: TextFileToDocument.sources
- sender: FileTypeRouter.text/markdown
receiver: MarkdownToDocument.sources
- sender: TextFileToDocument.documents
receiver: DocumentJoiner.documents
- sender: MarkdownToDocument.documents
receiver: DocumentJoiner.documents
- sender: DocumentJoiner.documents
receiver: DocumentSplitter.documents
- sender: DocumentSplitter.documents
receiver: DocumentWriter.documents

- sender: FileTypeRouter.application/json
receiver: JSONConverter.sources
- sender: JSONConverter.documents
receiver: DocumentJoiner.documents

max_runs_per_component: 100

metadata: {}

inputs:
files:
- FileTypeRouter.sources

Parameters

Inputs

ParameterTypeDefaultDescription
sourcesList[Union[str, Path, ByteStream]]List of file paths or ByteStream objects to convert.
metaOptional[Union[Dict[str, Any], List[Dict[str, Any]]]]NoneOptional metadata to attach to the Documents. This value can be either a list of dictionaries or a single dictionary. If it's a single dictionary, its content is added to the metadata of all produced Documents. If it's a list, the length of the list must match the number of sources, because the two lists will be zipped. If sources contains ByteStream objects, their meta will be added to the output Documents.

Outputs

ParameterTypeDefaultDescription
documentsList[Document]Converted documents.

Init Parameters

These are the parameters you can configure in Pipeline Builder:

ParameterTypeDefaultDescription
table_to_single_lineboolFalseIf True converts table contents into a single line.
progress_barboolTrueIf True shows a progress bar when running.
store_full_pathboolFalseIf True, the full path of the file is stored in the metadata of the document. If False, only the file name is stored.

Run Method Parameters

These are the parameters you can configure for the component's run() method. This means you can pass these parameters at query time through the API, in Playground, or when running a job. For details, see Modify Pipeline Parameters at Query Time.

ParameterTypeDefaultDescription
sourcesList[Union[str, Path, ByteStream]]List of file paths or ByteStream objects to convert.
metaOptional[Union[Dict[str, Any], List[Dict[str, Any]]]]NoneOptional metadata to attach to the Documents. This value can be either a list of dictionaries or a single dictionary. If it's a single dictionary, its content is added to the metadata of all produced Documents. If it's a list, the length of the list must match the number of sources, because the two lists will be zipped. If sources contains ByteStream objects, their meta will be added to the output Documents.