## Overview
This PR adds support for **Single Bucket Mode** in RAGFlow, allowing
users to configure MinIO/S3 to use a single bucket with a directory
structure instead of creating multiple buckets per Knowledge Base and
user folder.
## Problem Statement
The current implementation creates one bucket per Knowledge Base and one
bucket per user folder, which can be problematic when:
- Cloud providers charge per bucket
- IAM policies restrict bucket creation
- Organizations want centralized data management in a single bucket
## Solution
Added a `prefix_path` configuration option to the MinIO connector that
enables:
- Using a single bucket with directory-based organization
- Backward compatibility with existing multi-bucket deployments
- Support for MinIO, AWS S3, and other S3-compatible storage backends
## Changes
- **`rag/utils/minio_conn.py`**: Enhanced MinIO connector to support
single bucket mode with prefix paths
- **`conf/service_conf.yaml`**: Added new configuration options
(`bucket` and `prefix_path`)
- **`docker/service_conf.yaml.template`**: Updated template with single
bucket configuration examples
- **`docker/.env.single-bucket-example`**: Added example environment
variables for single bucket setup
- **`docs/single-bucket-mode.md`**: Comprehensive documentation covering
usage, migration, and troubleshooting
## Configuration Example
```yaml
minio:
user: "access-key"
password: "secret-key"
host: "minio.example.com:443"
bucket: "ragflow-bucket" # Single bucket name
prefix_path: "ragflow" # Optional prefix path
```
## Backward Compatibility
✅ Fully backward compatible - existing deployments continue to work
without any changes
- If `bucket` is not configured, uses default multi-bucket behavior
- If `bucket` is configured without `prefix_path`, uses bucket root
- If both are configured, uses `bucket/prefix_path/` structure
## Testing
- Tested with MinIO (local and cloud)
- Verified backward compatibility with existing multi-bucket mode
- Validated IAM policy restrictions work correctly
## Documentation
Included comprehensive documentation in `docs/single-bucket-mode.md`
covering:
- Configuration examples
- Migration guide from multi-bucket to single-bucket mode
- IAM policy examples
- Troubleshooting guide
---
**Related Issue**: Addresses use cases where bucket creation is
restricted or costly
### What problem does this PR solve?
Add DeepseekV3.2 of Tongyi-Qianwen and remove unused code
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Treat MinerU as an OCR model.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
### What problem does this PR solve?
This Pull Request introduces native support for Google Cloud Storage
(GCS) as an optional object storage backend.
Currently, RAGFlow relies on a limited set of storage options. This
feature addresses the need for seamless integration with GCP
environments, allowing users to leverage a fully managed, highly
durable, and scalable storage service (GCS) instead of needing to deploy
and maintain third-party object storage solutions. This simplifies
deployment, especially for users running on GCP infrastructure like GKE
or Cloud Run.
The implementation uses a single GCS bucket defined via configuration,
mapping RAGFlow's internal logical storage units (or "buckets") to
folder prefixes within that GCS container to maintain data separation.
This architectural choice avoids the operational complexities associated
with dynamically creating and managing unique GCS buckets for every
logical unit.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add MiniMax-M2 and remove deprecated models.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
### What problem does this PR solve?
change:
new api /sequence2txt,
update QWenSeq2txt and ZhipuSeq2txt
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Fix: jina embedding issue #11614
Feat: Add jina embedding v4
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Support for Redis 6+ ACL authentication (username)
close#11606
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
### What problem does this PR solve?
Add GPT-5.1, GPT‑5.1 Instant and Claude-Opus-4.5. #11548
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
- Added TCADP Parser configuration fields to PDF, PPT, and spreadsheet
parsing forms
- Implemented support for setting table result type (Markdown/HTML) and
Markdown image response type (URL/Text)
- Updated TCADP Parser to handle return format settings from
configuration or parameters
- Enhanced frontend to dynamically show TCADP options based on selected
parsing method
- Modified backend to pass format parameters when calling TCADP API
- Optimized form default value logic for TCADP configuration items
- Updated multilingual resource files for new configuration options
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add OceanBase doc engine. Close#5350
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add Gemini 3 Pro preview.
Change `GenerativeModel` to `genai`.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Co-authored-by: Jason <ggbbddjm@gmail.com>
### What problem does this PR solve?
[Update LLM factory ranks in llm_factories.json]
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
#10056
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Added vendor ranking so that frequently used model providers appear
higher on the page for easier access.
Remove deprecated LLM configurations from llm_factories.json to
streamline model management
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
fix infinity "INSERT: Column raptor_kwd not found in table" error
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: remove unsupported models in siliconflow api
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Add kimi-k2-thinking and moonshot-v1-vision-preview.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
This commit removes the Youdao and BAAI entries from the LLM factories
configuration as they are no longer needed or supported.
### Type of change
- [x] Config update
### What problem does this PR solve?
This PR adds a new TCADP (Tencent Cloud Advanced Document Processing)
parser to RAGFlow, enabling users to leverage Tencent Cloud's document
parsing capabilities for more accurate and structured document
processing. The implementation includes:
New TCADP Parser: A complete implementation of Tencent Cloud's document
parsing API without SDK dependency
Configuration Support: Added configuration options in service_conf.yaml
for Tencent Cloud API credentials
Frontend Integration: Updated UI components to support the new TCADP
parser option
Error Handling: Comprehensive error handling and retry mechanisms for
API calls
Result Processing: Support for both SSE streaming and JSON response
formats from Tencent Cloud API
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
### What problem does this PR solve?
Introduced gpu profile in .env
Added Dockerfile_tei
fix datrie
Removed LIGHTEN flag
### Type of change
- [x] Documentation Update
- [x] Refactoring
### What problem does this PR solve?
issue:
[#9004](https://github.com/infiniflow/ragflow/issues/9004)
change:
VolcEngine Model type add IMAGE2TEXT
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
- Added new field 'toc_kwd' to infinity_mapping.json for table of
contents keyword support
- Changed page_num_int from integer to array type in task_executor.py to
handle multiple page numbers
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
fix issues：https://github.com/infiniflow/ragflow/issues/10402
As the newly distributed embedding models support vector dimensions max
to 4096, while current OpenSearch's max dimension support is 1536.
As I tested, the 4096-dimensions vector will be treated as a float type
which is unacceptable in OpenSearch.
Besides, OpenSearch supports max to 16000 dimensions by defalut with the
vector engine(Faiss). According to:
https://docs.opensearch.org/2.19/field-types/supported-field-types/knn-methods-engines/
I added max to 10240 dimensions support for OpenSearch, as I think will
be sufficient in the future.
As I tested , it worked well on my own server (treated as knn_vector)by
using qwen3-embedding:8b as the embedding model:
<img width="1338" height="790" alt="image"
src="https://github.com/user-attachments/assets/a9b2d284-fcf6-4cea-859a-6aadccf36ace"
/>
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
By the way, I will still focus on the stuff about
Elasticsearch/Opensearch as search engines and vector databases.
Co-authored-by: 张雨豪 <zhangyh80@chinatelecom.cn>
### Related issues
#10078
### What problem does this PR solve?
Integrate DeerAPI provider.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
Co-authored-by: DeerAPI <tensor.null@gmail.com>
### What problem does this PR solve?
Add support for LongCat-Flash-Thinking and Claude Sonnet 4.5.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
fix: Wrong Qwen models's ID
[Bug]: ERROR: litellm.NotFoundError: DashscopeException - The model
Qwen/Qwen3-Omni-Flash does not exist or you do not have access to it.
change: delete wrong qwen model id
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: resolve hash collisions by switching to UUID &correct logic for
always-true statements, solved: #10165
Feat: Update GPT api integration, solved: #10204
Feat: Support qianwen-deepresearch, solved: #10163
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Introduce new feature: RAGFlow system admin service and CLI
### Introduction
Admin Service is a dedicated management component designed to monitor,
maintain, and administrate the RAGFlow system. It provides comprehensive
tools for ensuring system stability, performing operational tasks, and
managing users and permissions efficiently.
The service offers monitoring of critical components, including the
RAGFlow server, Task Executor processes, and dependent services such as
MySQL, Infinity / Elasticsearch, Redis, and MinIO. It automatically
checks their health status, resource usage, and uptime, and performs
restarts in case of failures to minimize downtime.
For user and system management, it supports listing, creating,
modifying, and deleting users and their associated resources like
knowledge bases and Agents.
Built with scalability and reliability in mind, the Admin Service
ensures smooth system operation and simplifies maintenance workflows.
It consists of a server-side Service and a command-line client (CLI),
both implemented in Python. User commands are parsed using the Lark
parsing toolkit.
- **Admin Service**: A backend service that interfaces with the RAGFlow
system to execute administrative operations and monitor its status.
- **Admin CLI**: A command-line interface that allows users to connect
to the Admin Service and issue commands for system management.
### Starting the Admin Service
1. Before start Admin Service, please make sure RAGFlow system is
already started.
2. Run the service script:
```bash
python admin/admin_server.py
```
The service will start and listen for incoming connections from the CLI
on the configured port.
### Using the Admin CLI
1. Ensure the Admin Service is running.
2. Launch the CLI client:
```bash
python admin/admin_client.py -h 0.0.0.0 -p 9381
## Supported Commands
Commands are case-insensitive and must be terminated with a semicolon
(`;`).
### Service Management Commands
- [x] `LIST SERVICES;`
- Lists all available services within the RAGFlow system.
- [ ] `SHOW SERVICE <id>;`
- Shows detailed status information for the service identified by
`<id>`.
- [ ] `STARTUP SERVICE <id>;`
- Attempts to start the service identified by `<id>`.
- [ ] `SHUTDOWN SERVICE <id>;`
- Attempts to gracefully shut down the service identified by `<id>`.
- [ ] `RESTART SERVICE <id>;`
- Attempts to restart the service identified by `<id>`.
### User Management Commands
- [x] `LIST USERS;`
- Lists all users known to the system.
- [ ] `SHOW USER '<username>';`
- Shows details and permissions for the specified user. The username
must be enclosed in single or double quotes.
- [ ] `DROP USER '<username>';`
- Removes the specified user from the system. Use with caution.
- [ ] `ALTER USER PASSWORD '<username>' '<new_password>';`
- Changes the password for the specified user.
### Data and Agent Commands
- [ ] `LIST DATASETS OF '<username>';`
- Lists the datasets associated with the specified user.
- [ ] `LIST AGENTS OF '<username>';`
- Lists the agents associated with the specified user.
### Meta-Commands
Meta-commands are prefixed with a backslash (`\`).
- `\?` or `\help`
- Shows help information for the available commands.
- `\q` or `\quit`
- Exits the CLI application.
## Examples
```commandline
admin> list users;
+-------------------------------+------------------------+-----------+-------------+
| create_date | email | is_active | nickname |
+-------------------------------+------------------------+-----------+-------------+
| Fri, 22 Nov 2024 16:03:41 GMT | jeffery@infiniflow.org | 1 | Jeffery |
| Fri, 22 Nov 2024 16:10:55 GMT | aya@infiniflow.org | 1 | Waterdancer |
+-------------------------------+------------------------+-----------+-------------+
admin> list services;
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
| extra | host | id | name | port | service_type |
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
| {} | 0.0.0.0 | 0 | ragflow_0 | 9380 | ragflow_server |
| {'meta_type': 'mysql', 'password': 'infini_rag_flow', 'username': 'root'} | localhost | 1 | mysql | 5455 | meta_data |
| {'password': 'infini_rag_flow', 'store_type': 'minio', 'user': 'rag_flow'} | localhost | 2 | minio | 9000 | file_store |
| {'password': 'infini_rag_flow', 'retrieval_type': 'elasticsearch', 'username': 'elastic'} | localhost | 3 | elasticsearch | 1200 | retrieval |
| {'db_name': 'default_db', 'retrieval_type': 'infinity'} | localhost | 4 | infinity | 23817 | retrieval |
| {'database': 1, 'mq_type': 'redis', 'password': 'infini_rag_flow'} | localhost | 5 | redis | 6379 | message_queue |
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
```
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Signed-off-by: jinhai <haijin.chn@gmail.com>
### Related issues
#10078
### What problem does this PR solve?
Integrate CometAPI provider.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
### What problem does this PR solve?
Add LongCat-Flash-Chat from Meituan, deepseek v3.1 from SiliconFlow,
kimi-k2-09-05-preview and kimi-k2-turbo-preview from Moonshot.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Refine dataflow and initialize dataflow app.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
