### What problem does this PR solve?
sync test group from sdk/python/pyproject.toml to top pyproject.toml
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
There are two main changes:
1. Update xgboost to 1.6.0 to build the project on MacOS with Apple
chips, this change refers to the issue:
https://github.com/infiniflow/ragflow/issues/5114.
2. When `use_china_mirrors` is set in `download_deps.py`, the names of
chrome files downloaded by the script will be different from the file
names used in Dockerfile, so I added the file name in `get_urls`
function to solve this problem.
I think it's better to add testing for Docker image
`infiniflow/ragflow_deps` to the test workflow, but since the workflow
is currently running on a self-hosted runner, I'm not sure how to modify
it.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):
### What problem does this PR solve?
Hello, our use case requires LLM agent to invoke some tools, so I made a
simple implementation here.
This PR does two things:
1. A simple plugin mechanism based on `pluginlib`:
This mechanism lives in the `plugin` directory. It will only load
plugins from `plugin/embedded_plugins` for now.
A sample plugin `bad_calculator.py` is placed in
`plugin/embedded_plugins/llm_tools`, it accepts two numbers `a` and `b`,
then give a wrong result `a + b + 100`.
In the future, it can load plugins from external location with little
code change.
Plugins are divided into different types. The only plugin type supported
in this PR is `llm_tools`, which must implement the `LLMToolPlugin`
class in the `plugin/llm_tool_plugin.py`.
More plugin types can be added in the future.
2. A tool selector in the `Generate` component:
Added a tool selector to select one or more tools for LLM:
And with the `bad_calculator` tool, it results this with the `qwen-max`
model:
### Type of change
- [ ] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):
Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
### What problem does this PR solve?
This PR adds the support for latest OpenSearch2.19.1 as the store engine
& search engine option for RAGFlow.
### Main Benefit
1. OpenSearch2.19.1 is licensed under the [Apache v2.0 License] which is
much better than Elasticsearch
2. For search, OpenSearch2.19.1 supports full-text
search、vector_search、hybrid_search those are similar with Elasticsearch
on schema
3. For store, OpenSearch2.19.1 stores text、vector those are quite
simliar with Elasticsearch on schema
### Changes
- Support opensearch_python_connetor. I make a lot of adaptions since
the schema and api/method between ES and Opensearch differs in many
ways(especially the knn_search has a significant gap) :
rag/utils/opensearch_coon.py
- Support static config adaptions by changing:
conf/service_conf.yaml、api/settings.py、rag/settings.py
- Supprt some store&search schema changes between OpenSearch and ES:
conf/os_mapping.json
- Support OpenSearch python sdk : pyproject.toml
- Support docker config for OpenSearch2.19.1 :
docker/.env、docker/docker-compose-base.yml、docker/service_conf.yaml.template
### How to use
- I didn't change the priority that ES as the default doc/search engine.
Only if in docker/.env , we set DOC_ENGINE=${DOC_ENGINE:-opensearch}, it
will work.
### Others
Our team tested a lot of docs in our environment by using OpenSearch as
the vector database ,it works very well.
All the conifg for OpenSearch is necessary.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: Yongteng Lei <yongtengrey@outlook.com>
Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
### What problem does this PR solve?
Add MCP support with a client example.
Issue link: #4344
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Removed set_entity and set_relation to avoid accessing doc engine during
graph computation.
Introduced GraphChange to avoid writing unchanged chunks.
### Type of change
- [x] Performance Improvement
### What problem does this PR solve?
This patch drop useless fastext which is seems useless in the code base
and its very kind of hard install
should close#4498
### Type of change
- [x] Refactoring
Signed-off-by: yihong0618 <zouzou0208@gmail.com>
### 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?
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?
Fixed GPU detection on CPU only environment. Close#4692
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Removed onnxruntime. It conflicts with the onnxruntime-gpu.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Bump infinity to v0.6.0-dev2. Close#4477
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
