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POST
/
datasets
/
{dataset_id}
/
document
/
create-by-text
Error
A valid request URL is required to generate request examples
{ "document": { "id": "a8e0e5b5-78c6-4130-a5ce-25feb0e0b4ac", "position": 1, "data_source_type": "upload_file", "data_source_info": { "upload_file_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890" }, "data_source_detail_dict": { "upload_file": { "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890", "name": "guide.txt", "size": 2048, "extension": "txt", "mime_type": "text/plain", "created_by": "ad313dd6-ef04-4dd1-a5b0-c0f0b9e2e7e4", "created_at": 1741267200 } }, "dataset_process_rule_id": "e1f2a3b4-c5d6-7890-ef12-345678901234", "name": "guide.txt", "created_from": "api", "created_by": "ad313dd6-ef04-4dd1-a5b0-c0f0b9e2e7e4", "created_at": 1741267200, "tokens": 0, "indexing_status": "indexing", "error": null, "enabled": true, "disabled_at": null, "disabled_by": null, "archived": false, "display_status": "indexing", "word_count": 0, "hit_count": 0, "doc_form": "text_model", "doc_metadata": [], "summary_index_status": null, "need_summary": false }, "batch": "20250306150245647595" }

Documentation Index

Fetch the complete documentation index at: https://docs.dify.ai/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

Authorization
string
header
required

API Key authentication. For all API requests, include your API Key in the Authorization HTTP Header, prefixed with Bearer . Example: Authorization: Bearer {API_KEY}. Strongly recommend storing your API Key on the server-side, not shared or stored on the client-side, to avoid possible API-Key leakage that can lead to serious consequences.

Path Parameters

dataset_id
string<uuid>
required

Knowledge base ID.

Body

application/json
name
string
required

Document name.

text
string
required

Document text content.

indexing_technique
enum<string>

Required when adding the first document to a knowledge base. Subsequent documents inherit the knowledge base's indexing technique if omitted. high_quality uses embedding models for precise search; economy uses keyword-based indexing.

Available options:
high_quality,
economy
doc_form
enum<string>
default:text_model

text_model for standard text chunking, hierarchical_model for parent-child chunk structure, qa_model for question-answer pair extraction.

Available options:
text_model,
hierarchical_model,
qa_model
doc_language
string
default:English

Language of the document for processing optimization.

process_rule
object

Processing rules for chunking.

retrieval_model
object

Retrieval model configuration. Controls how chunks are searched and ranked when querying this knowledge base.

embedding_model
string

Embedding model name. Use the model field from Get Available Models with model_type=text-embedding.

embedding_model_provider
string

Embedding model provider. Use the provider field from Get Available Models with model_type=text-embedding.

original_document_id
string

Original document ID for versioning.

Response

Document created successfully.

document
object
batch
string

Batch ID for tracking indexing progress.