Files
ragflow/admin/client/COMMAND.md
Jin Hai 70e9743ef1 RAGFlow go API server (#13240)
# RAGFlow Go Implementation Plan 🚀

This repository tracks the progress of porting RAGFlow to Go. We'll
implement core features and provide performance comparisons between
Python and Go versions.

## Implementation Checklist

- [x] User Management APIs
- [x] Dataset Management Operations
- [x] Retrieval Test
- [x] Chat Management Operations
- [x] Infinity Go SDK

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
Co-authored-by: Yingfeng Zhang <yingfeng.zhang@gmail.com>
2026-03-04 19:17:16 +08:00

12 KiB

RAGFlow CLI User Command Reference

This document describes the user commands available in RAGFlow CLI. All commands must end with a semicolon (;).

Command List

ping_server

Description
Tests the connection status to the server.

Usage

PING;

Parameters
No parameters.

Example

ragflow> PING;

Display Effect
(Sample output will be provided by the user)


show_current_user

Description
Displays information about the currently logged-in user.

Usage

SHOW CURRENT USER;

Parameters
No parameters.

Example

ragflow> SHOW CURRENT USER;

Display Effect
(Sample output will be provided by the user)


create_model_provider

Description
Creates a new model provider.

Usage

CREATE MODEL PROVIDER <provider_name> <provider_key>;

Parameters

  • provider_name: Provider name, quoted string.
  • provider_key: Provider key, quoted string.

Example

ragflow> CREATE MODEL PROVIDER 'openai' 'sk-...';

Display Effect
(Sample output will be provided by the user)


drop_model_provider

Description
Deletes a model provider.

Usage

DROP MODEL PROVIDER <provider_name>;

Parameters

  • provider_name: Name of the provider to delete, quoted string.

Example

ragflow> DROP MODEL PROVIDER 'openai';

Display Effect
(Sample output will be provided by the user)


set_default_llm

Description
Sets the default LLM (Large Language Model).

Usage

SET DEFAULT LLM <llm_id>;

Parameters

  • llm_id: LLM identifier, quoted string.

Example

ragflow> SET DEFAULT LLM 'gpt-4';

Display Effect
(Sample output will be provided by the user)


set_default_vlm

Description
Sets the default VLM (Vision Language Model).

Usage

SET DEFAULT VLM <vlm_id>;

Parameters

  • vlm_id: VLM identifier, quoted string.

Example

ragflow> SET DEFAULT VLM 'clip-vit-large';

Display Effect
(Sample output will be provided by the user)


set_default_embedding

Description
Sets the default embedding model.

Usage

SET DEFAULT EMBEDDING <embedding_id>;

Parameters

  • embedding_id: Embedding model identifier, quoted string.

Example

ragflow> SET DEFAULT EMBEDDING 'text-embedding-ada-002';

Display Effect
(Sample output will be provided by the user)


set_default_reranker

Description
Sets the default reranker model.

Usage

SET DEFAULT RERANKER <reranker_id>;

Parameters

  • reranker_id: Reranker model identifier, quoted string.

Example

ragflow> SET DEFAULT RERANKER 'bge-reranker-large';

Display Effect
(Sample output will be provided by the user)


set_default_asr

Description
Sets the default ASR (Automatic Speech Recognition) model.

Usage

SET DEFAULT ASR <asr_id>;

Parameters

  • asr_id: ASR model identifier, quoted string.

Example

ragflow> SET DEFAULT ASR 'whisper-large';

Display Effect
(Sample output will be provided by the user)


set_default_tts

Description
Sets the default TTS (Text-to-Speech) model.

Usage

SET DEFAULT TTS <tts_id>;

Parameters

  • tts_id: TTS model identifier, quoted string.

Example

ragflow> SET DEFAULT TTS 'tts-1';

Display Effect
(Sample output will be provided by the user)


reset_default_llm

Description
Resets the default LLM to system default.

Usage

RESET DEFAULT LLM;

Parameters
No parameters.

Example

ragflow> RESET DEFAULT LLM;

Display Effect
(Sample output will be provided by the user)


reset_default_vlm

Description
Resets the default VLM to system default.

Usage

RESET DEFAULT VLM;

Parameters
No parameters.

Example

ragflow> RESET DEFAULT VLM;

Display Effect
(Sample output will be provided by the user)


reset_default_embedding

Description
Resets the default embedding model to system default.

Usage

RESET DEFAULT EMBEDDING;

Parameters
No parameters.

Example

ragflow> RESET DEFAULT EMBEDDING;

Display Effect
(Sample output will be provided by the user)


reset_default_reranker

Description
Resets the default reranker model to system default.

Usage

RESET DEFAULT RERANKER;

Parameters
No parameters.

Example

ragflow> RESET DEFAULT RERANKER;

Display Effect
(Sample output will be provided by the user)


reset_default_asr

Description
Resets the default ASR model to system default.

Usage

RESET DEFAULT ASR;

Parameters
No parameters.

Example

ragflow> RESET DEFAULT ASR;

Display Effect
(Sample output will be provided by the user)


reset_default_tts

Description
Resets the default TTS model to system default.

Usage

RESET DEFAULT TTS;

Parameters
No parameters.

Example

ragflow> RESET DEFAULT TTS;

Display Effect
(Sample output will be provided by the user)


create_user_dataset_with_parser

Description
Creates a user dataset with the specified parser.

Usage

CREATE DATASET <dataset_name> WITH EMBEDDING <embedding> PARSER <parser_type>;

Parameters

  • dataset_name: Dataset name, quoted string.
  • embedding: Embedding model name, quoted string.
  • parser_type: Parser type, quoted string.

Example

ragflow> CREATE DATASET 'my_dataset' WITH EMBEDDING 'text-embedding-ada-002' PARSER 'pdf';

Display Effect
(Sample output will be provided by the user)


create_user_dataset_with_pipeline

Description
Creates a user dataset with the specified pipeline.

Usage

CREATE DATASET <dataset_name> WITH EMBEDDING <embedding> PIPELINE <pipeline>;

Parameters

  • dataset_name: Dataset name, quoted string.
  • embedding: Embedding model name, quoted string.
  • pipeline: Pipeline name, quoted string.

Example

ragflow> CREATE DATASET 'my_dataset' WITH EMBEDDING 'text-embedding-ada-002' PIPELINE 'standard';

Display Effect
(Sample output will be provided by the user)


drop_user_dataset

Description
Deletes a user dataset.

Usage

DROP DATASET <dataset_name>;

Parameters

  • dataset_name: Name of the dataset to delete, quoted string.

Example

ragflow> DROP DATASET 'my_dataset';

Display Effect
(Sample output will be provided by the user)


list_user_datasets

Description
Lists all datasets for the current user.

Usage

LIST DATASETS;

Parameters
No parameters.

Example

ragflow> LIST DATASETS;

Display Effect
(Sample output will be provided by the user)


list_user_dataset_files

Description
Lists all files in the specified dataset.

Usage

LIST FILES OF DATASET <dataset_name>;

Parameters

  • dataset_name: Dataset name, quoted string.

Example

ragflow> LIST FILES OF DATASET 'my_dataset';

Display Effect
(Sample output will be provided by the user)


list_user_agents

Description
Lists all agents for the current user.

Usage

LIST AGENTS;

Parameters
No parameters.

Example

ragflow> LIST AGENTS;

Display Effect
(Sample output will be provided by the user)


list_user_chats

Description
Lists all chat sessions for the current user.

Usage

LIST CHATS;

Parameters
No parameters.

Example

ragflow> LIST CHATS;

Display Effect
(Sample output will be provided by the user)


create_user_chat

Description
Creates a new chat session.

Usage

CREATE CHAT <chat_name>;

Parameters

  • chat_name: Chat session name, quoted string.

Example

ragflow> CREATE CHAT 'my_chat';

Display Effect
(Sample output will be provided by the user)


drop_user_chat

Description
Deletes a chat session.

Usage

DROP CHAT <chat_name>;

Parameters

  • chat_name: Name of the chat session to delete, quoted string.

Example

ragflow> DROP CHAT 'my_chat';

Display Effect
(Sample output will be provided by the user)


list_user_model_providers

Description
Lists all model providers for the current user.

Usage

LIST MODEL PROVIDERS;

Parameters
No parameters.

Example

ragflow> LIST MODEL PROVIDERS;

Display Effect
(Sample output will be provided by the user)


list_user_default_models

Description
Lists all default model settings for the current user.

Usage

LIST DEFAULT MODELS;

Parameters
No parameters.

Example

ragflow> LIST DEFAULT MODELS;

Display Effect
(Sample output will be provided by the user)


import_docs_into_dataset

Description
Imports documents into the specified dataset.

Usage

IMPORT <document_list> INTO DATASET <dataset_name>;

Parameters

  • document_list: List of document paths, multiple paths can be separated by commas, or as a space-separated quoted string.
  • dataset_name: Target dataset name, quoted string.

Example

ragflow> IMPORT '/path/to/doc1.pdf,/path/to/doc2.pdf' INTO DATASET 'my_dataset';

Display Effect
(Sample output will be provided by the user)


search_on_datasets

Description
Searches in one or more specified datasets.

Usage

SEARCH <question> ON DATASETS <dataset_list>;

Parameters

  • question: Search question, quoted string.
  • dataset_list: List of dataset names, multiple names can be separated by commas, or as a space-separated quoted string.

Example

ragflow> SEARCH 'What is RAG?' ON DATASETS 'dataset1,dataset2';

Display Effect
(Sample output will be provided by the user)


parse_dataset_docs

Description
Parses specified documents in a dataset.

Usage

PARSE <document_names> OF DATASET <dataset_name>;

Parameters

  • document_names: List of document names, multiple names can be separated by commas, or as a space-separated quoted string.
  • dataset_name: Dataset name, quoted string.

Example

ragflow> PARSE 'doc1.pdf,doc2.pdf' OF DATASET 'my_dataset';

Display Effect
(Sample output will be provided by the user)


parse_dataset_sync

Description
Synchronously parses the entire dataset.

Usage

PARSE DATASET <dataset_name> SYNC;

Parameters

  • dataset_name: Dataset name, quoted string.

Example

ragflow> PARSE DATASET 'my_dataset' SYNC;

Display Effect
(Sample output will be provided by the user)


parse_dataset_async

Description
Asynchronously parses the entire dataset.

Usage

PARSE DATASET <dataset_name> ASYNC;

Parameters

  • dataset_name: Dataset name, quoted string.

Example

ragflow> PARSE DATASET 'my_dataset' ASYNC;

Display Effect
(Sample output will be provided by the user)


benchmark

Description
Performs performance benchmark testing on the specified user command.

Usage

BENCHMARK <concurrency> <iterations> <user_command>;

Parameters

  • concurrency: Concurrency number, positive integer.
  • iterations: Number of iterations, positive integer.
  • user_command: User command to test (must be a valid user command, such as PING;).

Example

ragflow> BENCHMARK 5 10 PING;

Display Effect
(Sample output will be provided by the user)


Notes

  • All string parameters (such as names, IDs, paths) must be enclosed in single quotes (') or double quotes (").
  • Commands must end with a semicolon (;).
  • The prompt is ragflow>.