### What problem does this PR solve?
Feat: Add DualRangeSlider #3221
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
DOCS: add OpenAI-compatible http and python api reference (#5374)
### What problem does this PR solve?
Add OpenAI-compatible http and python api reference
### Type of change
- [x] Documentation Update
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
Fix：validate knowledge base association before document upload (#5373)
### What problem does this PR solve?
fix this bug: https://github.com/infiniflow/ragflow/issues/5368
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
Co-authored-by: wenju.li <wenju.li@deepctr.cn>
Run keyword_extraction, question_proposal, content_tagging in thread pool (#5376)
### What problem does this PR solve?
Run keyword_extraction, question_proposal, content_tagging in threads
### Type of change
- [x] Performance Improvement
### What problem does this PR solve?
Added OpenAI-like completion api, related to #4672, #4705
This function allows users to interact with a model to get responses
based on a series of messages.
If `stream` is set to True, the response will be streamed in chunks,
mimicking the OpenAI-style API.
#### Example usage:
```bash
curl -X POST https://ragflow_address.com/api/v1/chats_openai/<chat_id>/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $RAGFLOW_API_KEY" \
-d '{
"model": "model",
"messages": [{"role": "user", "content": "Say this is a test!"}],
"stream": true
}'
```
Alternatively, you can use Python's `OpenAI` client:
```python
from openai import OpenAI
model = "model"
client = OpenAI(api_key="ragflow-api-key", base_url=f"http://ragflow_address/api/v1/chats_openai/<chat_id>")
completion = client.chat.completions.create(
model=model,
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who you are?"},
{"role": "assistant", "content": "I am an AI assistant named..."},
{"role": "user", "content": "Can you tell me how to install neovim"},
],
stream=True
)
stream = True
if stream:
for chunk in completion:
print(chunk)
else:
print(completion.choices[0].message.content)
```
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### Related Issues
Related to #4672, #4705
Fix: 'Chunk not found!' error in team-sharing knowledge base. (#5361)
### What problem does this PR solve?
As issue #3268 mentioned, "Chun not found!" exception will occur,
especially during the teamwork of knowledge bases.
### The reason of this bug
"tenants" are the people on current_user's team, including the team
owner itself. The old one only checks the first "tenant", tenants[0],
which will cause error when anyone editing the chunk that is not in
tenants[0]'s knowledge base.
My modification won't introduce new errors while iterate all the tenant
then retrieve knowledge bases of each.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
Feat: Add Tavily Api Key to chat configuration modal. #5198 (#5347)
### What problem does this PR solve?
Feat: Add Tavily Api Key to chat configuration modal. #5198
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Fix: Due to the reference to tailwindcss, the height attribute setting of the image is invalid, resulting in an uneven model list #5339 (#5340)
### What problem does this PR solve?
Fix: Due to the reference to tailwindcss, the height attribute setting
of the image is invalid, resulting in an uneven model list #5339
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
Feat: Add DynamicVariableForm with shadcn-ui. #3221 (#5336)
### What problem does this PR solve?
Feat: Add DynamicVariableForm with shadcn-ui. #3221
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
```
fixed type-script on MessageInput change to TextArea
```
_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] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Feat: Add FormDrawer to agent page. #3221
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Replaced pypi.tuna.tsinghua.edu.cn with mirrors.aliyun.com/pypi (#5309)
### What problem does this PR solve?
Replaced pypi.tuna.tsinghua.edu.cn with mirrors.aliyun.com/pypi.
I notice aliyun.com sometimes is much faster than tsinghua.edu.
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Feat: Render agent details #3221
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Feat: Render operator menu by category. #3221 (#5302)
### What problem does this PR solve?
Feat: Render operator menu by category. #3221
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Feat: Disable Max_token by default #5283
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Feat: Add PageHeader to DatasetWrapper #3221 (#5284)
### What problem does this PR solve?
Feat: Add PageHeader to DatasetWrapper #3221
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Refactor rerank model with dynamic batch processing and memory manage… (#5273)
…ment
### What problem does this PR solve?
Issue：https://github.com/infiniflow/ragflow/issues/5262
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
Co-authored-by: wenju.li <wenju.li@deepctr.cn>
### What problem does this PR solve?
Partitions the upload of documents in parts of 20 to avoid the size
limit error. Allows uploading 100s of documents on a single interaction.
### Type of change
- [X] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
This pull request includes changes to the initialization logic of the
`ChatModel` and `EmbeddingModel` classes to enhance the handling of AWS
credentials.
Use cases:
- Use env variables for credentials instead of managing them on the DB
- Easy connection when deploying on an AWS machine
### Type of change
- [X] New Feature (non-breaking change which adds functionality)
Add configuration to choose default llm models (#5245)
### What problem does this PR solve?
This pull request includes changes to the `api/settings.py` and
`docker/service_conf.yaml.template` files to add support for default
models in the LLM configuration (specially for LIGHTEN builds). The most
important changes include adding default model configurations and
updating the initialization settings to use these defaults.
For example:
With this configuration Bedrock will be enable by default with claude
and titan embeddings.
```
user_default_llm:
factory: 'Bedrock'
api_key: '{}'
base_url: ''
default_models:
chat_model: 'anthropic.claude-3-5-sonnet-20240620-v1:0'
embedding_model: 'amazon.titan-embed-text-v2:0'
rerank_model: ''
asr_model: ''
image2text_model: ''
```
### Type of change
- [X] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
Support downloading models from ModelScope Community. (#5073)
This PR supports downloading models from ModelScope. The main
modifications are as follows:
-New Feature (non-breaking change which adds functionality)
-Documentation Update
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
Yongteng Lei
balibabu
Kevin Hu
k
liwenju0
Zhichang Yu
Zhenglin Dong
James Chiang
so95
writinwaters
Omar Leonardo Sanchez Granados
yrk111222