mirror of
https://github.com/csunny/DB-GPT.git
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doc:update deploy doc
This commit is contained in:
aries_ckt
18
docs/conf.py
18
docs/conf.py
@@ -30,10 +30,24 @@ extensions = [
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"myst_nb",
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"sphinx_copybutton",
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"sphinx_panels",
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"sphinx_tabs.tabs",
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"IPython.sphinxext.ipython_console_highlighting",
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'sphinx.ext.autosectionlabel'
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]
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source_suffix = [".ipynb", ".html", ".md", ".rst"]
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myst_enable_extensions = [
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"dollarmath",
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"amsmath",
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"deflist",
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"html_admonition",
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"html_image",
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"colon_fence",
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"smartquotes",
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"replacements",
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]
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# autodoc_pydantic_model_show_json = False
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# autodoc_pydantic_field_list_validators = False
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# autodoc_pydantic_config_members = False
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@@ -56,5 +70,7 @@ gettext_uuid = True
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# -- Options for HTML output -------------------------------------------------
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# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
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html_theme = "furo"
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html_theme = "sphinx_book_theme"
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html_static_path = ["_static"]
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@@ -18,7 +18,7 @@ DB-GPT product is a Web application that you can chat database, chat knowledge,
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:name: deploy
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:hidden:
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./install/deploy/deploy.md
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./install/deploy.rst
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./install/docker/docker.md
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./install/docker_compose/docker_compose.md
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./install/cluster/cluster.rst
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438
docs/getting_started/install/deploy.rst
Normal file
438
docs/getting_started/install/deploy.rst
Normal file
@@ -0,0 +1,438 @@
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.. _installation:
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Installation From Source
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==============
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To get started, install DB-GPT with the following steps.
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DB-GPT can be deployed on servers with low hardware requirements or on servers with high hardware requirements.
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You can install DB-GPT by Using third-part LLM REST API Service OpenAI, Azure.
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And you can also install DB-GPT by deploy LLM Service by download LLM model.
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1.Preparation
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-----------------
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**Download DB-GPT**
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.. code-block:: shell
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git clone https://github.com/eosphoros-ai/DB-GPT.git
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**Install Miniconda**
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We use Sqlite as default database, so there is no need for database installation. If you choose to connect to other databases, you can follow our tutorial for installation and configuration.
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For the entire installation process of DB-GPT, we use the miniconda3 virtual environment. Create a virtual environment and install the Python dependencies.
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:ref: `https://docs.conda.io/en/latest/miniconda.html<How to install Miniconda>`
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.. code-block:: shell
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python>=3.10
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conda create -n dbgpt_env python=3.10
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conda activate dbgpt_env
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# it will take some minutes
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pip install -e ".[default]"
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.. code-block:: shell
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cp .env.template .env
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2.Deploy LLM Service
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-----------------
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DB-GPT can be deployed on servers with low hardware requirements or on servers with high hardware requirements.
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If you are low hardware requirements you can install DB-GPT by Using third-part LLM REST API Service OpenAI, Azure, tongyi.
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|
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.. tabs::
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.. tab:: OpenAI
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Download embedding model
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.. code-block:: shell
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cd DB-GPT
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mkdir models and cd models
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#### embedding model
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git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
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or
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git clone https://huggingface.co/moka-ai/m3e-large
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Configure LLM_MODEL and PROXY_API_URL and API_KEY in `.env` file
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|
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.. code-block:: shell
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LLM_MODEL=chatgpt_proxyllm
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PROXY_API_KEY={your-openai-sk}
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PROXY_SERVER_URL=https://api.openai.com/v1/chat/completions
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|
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.. tip::
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|
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Make sure your .env configuration is not overwritten
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.. tab:: Vicuna
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([Vicuna-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5) based on llama-2 has been released, we recommend you set `LLM_MODEL=vicuna-13b-v1.5` to try this model)
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.. list-table:: vicuna-v1.5 hardware requirements
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:widths: 50 50 50
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:header-rows: 1
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|
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* - Model
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- Quantize
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- VRAM Size
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* - vicuna-7b-v1.5
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- 4-bit
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- 8 GB
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* - vicuna-7b-v1.5
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- 8-bit
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- 12 GB
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* - vicuna-13b-v1.5
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- 4-bit
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- 12 GB
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* - vicuna-13b-v1.5
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- 8-bit
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- 20 GB
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|
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|
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.. note::
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|
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Notice make sure you have install git-lfs
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|
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centos:yum install git-lfs
|
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|
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ubuntu:apt-get install git-lfs
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macos:brew install git-lfs
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|
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|
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.. code-block:: shell
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cd DB-GPT
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mkdir models and cd models
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|
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#### embedding model
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git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
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or
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git clone https://huggingface.co/moka-ai/m3e-large
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#### llm model, if you use openai or Azure or tongyi llm api service, you don't need to download llm model
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git clone https://huggingface.co/lmsys/vicuna-13b-v1.5
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|
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The model files are large and will take a long time to download.
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|
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**Configure LLM_MODEL in `.env` file**
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.. code-block:: shell
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LLM_MODEL=vicuna-13b-v1.5
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.. tab:: Baichuan
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.. list-table:: Baichuan hardware requirements
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:widths: 50 50 50
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:header-rows: 1
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|
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* - Model
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- Quantize
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- VRAM Size
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* - baichuan-7b
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- 4-bit
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- 8 GB
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* - baichuan-7b
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- 8-bit
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- 12 GB
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* - baichuan-13b
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- 4-bit
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- 12 GB
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* - baichuan-13b
|
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- 8-bit
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- 20 GB
|
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|
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.. note::
|
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|
||||
Notice make sure you have install git-lfs
|
||||
|
||||
centos:yum install git-lfs
|
||||
|
||||
ubuntu:apt-get install git-lfs
|
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|
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macos:brew install git-lfs
|
||||
|
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|
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.. code-block:: shell
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||||
|
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cd DB-GPT
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mkdir models and cd models
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|
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#### embedding model
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git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
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or
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git clone https://huggingface.co/moka-ai/m3e-large
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|
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#### llm model
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git clone https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat
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or
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git clone https://huggingface.co/baichuan-inc/Baichuan2-13B-Chat
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|
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The model files are large and will take a long time to download.
|
||||
|
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**Configure LLM_MODEL in `.env` file**
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|
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please rename Baichuan path to "baichuan2-13b" or "baichuan2-7b"
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.. code-block:: shell
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|
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LLM_MODEL=baichuan2-13b
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.. tab:: ChatGLM
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|
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.. note::
|
||||
|
||||
Notice make sure you have install git-lfs
|
||||
|
||||
centos:yum install git-lfs
|
||||
|
||||
ubuntu:apt-get install git-lfs
|
||||
|
||||
macos:brew install git-lfs
|
||||
|
||||
|
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.. code-block:: shell
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||||
|
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cd DB-GPT
|
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mkdir models and cd models
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|
||||
#### embedding model
|
||||
git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
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or
|
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git clone https://huggingface.co/moka-ai/m3e-large
|
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|
||||
#### llm model
|
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git clone https://huggingface.co/THUDM/chatglm2-6b
|
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|
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The model files are large and will take a long time to download.
|
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|
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**Configure LLM_MODEL in `.env` file**
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please rename chatglm model path to "chatglm2-6b"
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.. code-block:: shell
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LLM_MODEL=chatglm2-6b
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.. tab:: Other LLM API
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|
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Download embedding model
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|
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.. code-block:: shell
|
||||
|
||||
cd DB-GPT
|
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mkdir models and cd models
|
||||
|
||||
#### embedding model
|
||||
git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
|
||||
or
|
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git clone https://huggingface.co/moka-ai/m3e-large
|
||||
|
||||
.. note::
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|
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* OpenAI
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* Azure
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* Aliyun tongyi
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* Baidu wenxin
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* Zhipu
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* Baichuan
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* Bard
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|
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Configure LLM_MODEL and PROXY_API_URL and API_KEY in `.env` file
|
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|
||||
.. code-block:: shell
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||||
|
||||
#OpenAI
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LLM_MODEL=chatgpt_proxyllm
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PROXY_API_KEY={your-openai-sk}
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PROXY_SERVER_URL=https://api.openai.com/v1/chat/completions
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|
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#Azure
|
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LLM_MODEL=chatgpt_proxyllm
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PROXY_API_KEY={your-azure-sk}
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PROXY_API_BASE=https://{your domain}.openai.azure.com/
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PROXY_API_TYPE=azure
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PROXY_SERVER_URL=xxxx
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PROXY_API_VERSION=2023-05-15
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PROXYLLM_BACKEND=gpt-35-turbo
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|
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#Aliyun tongyi
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LLM_MODEL=tongyi_proxyllm
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TONGYI_PROXY_API_KEY={your-tongyi-sk}
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PROXY_SERVER_URL={your_service_url}
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|
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## Baidu wenxin
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LLM_MODEL=wenxin_proxyllm
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PROXY_SERVER_URL={your_service_url}
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WEN_XIN_MODEL_VERSION={version}
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WEN_XIN_API_KEY={your-wenxin-sk}
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WEN_XIN_SECRET_KEY={your-wenxin-sct}
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|
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## Zhipu
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LLM_MODEL=zhipu_proxyllm
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PROXY_SERVER_URL={your_service_url}
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ZHIPU_MODEL_VERSION={version}
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ZHIPU_PROXY_API_KEY={your-zhipu-sk}
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|
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## Baichuan
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LLM_MODEL=bc_proxyllm
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PROXY_SERVER_URL={your_service_url}
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BAICHUN_MODEL_NAME={version}
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BAICHUAN_PROXY_API_KEY={your-baichuan-sk}
|
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BAICHUAN_PROXY_API_SECRET={your-baichuan-sct}
|
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|
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## bard
|
||||
LLM_MODEL=bard_proxyllm
|
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PROXY_SERVER_URL={your_service_url}
|
||||
# from https://bard.google.com/ f12-> application-> __Secure-1PSID
|
||||
BARD_PROXY_API_KEY={your-bard-token}
|
||||
|
||||
.. tip::
|
||||
|
||||
Make sure your .env configuration is not overwritten
|
||||
|
||||
.. tab:: llama.cpp
|
||||
|
||||
DB-GPT already supports [llama.cpp](https://github.com/ggerganov/llama.cpp) via [llama-cpp-python](https://github.com/abetlen/llama-cpp-python).
|
||||
|
||||
**Preparing Model Files**
|
||||
|
||||
To use llama.cpp, you need to prepare a gguf format model file, and there are two common ways to obtain it, you can choose either:
|
||||
|
||||
**1. Download a pre-converted model file.**
|
||||
|
||||
Suppose you want to use [Vicuna 13B v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5), you can download the file already converted from [TheBloke/vicuna-13B-v1.5-GGUF](https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGUF), only one file is needed. Download it to the `models` directory and rename it to `ggml-model-q4_0.gguf`.
|
||||
|
||||
.. code-block::
|
||||
|
||||
wget https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGUF/resolve/main/vicuna-13b-v1.5.Q4_K_M.gguf -O models/ggml-model-q4_0.gguf
|
||||
|
||||
**2. Convert It Yourself**
|
||||
|
||||
You can convert the model file yourself according to the instructions in [llama.cpp#prepare-data--run](https://github.com/ggerganov/llama.cpp#prepare-data--run), and put the converted file in the models directory and rename it to `ggml-model-q4_0.gguf`.
|
||||
|
||||
**Installing Dependencies**
|
||||
|
||||
llama.cpp is an optional dependency in DB-GPT, and you can manually install it using the following command:
|
||||
|
||||
.. code-block::
|
||||
|
||||
pip install -e ".[llama_cpp]"
|
||||
|
||||
|
||||
**3.Modifying the Configuration File**
|
||||
|
||||
Next, you can directly modify your `.env` file to enable llama.cpp.
|
||||
|
||||
.. code-block::
|
||||
|
||||
LLM_MODEL=llama-cpp
|
||||
llama_cpp_prompt_template=vicuna_v1.1
|
||||
|
||||
Then you can run it according to [Run](https://db-gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html#run).
|
||||
|
||||
|
||||
**More Configurations**
|
||||
|
||||
In DB-GPT, the model configuration can be done through `{model name}_{config key}`.
|
||||
|
||||
.. list-table:: More Configurations
|
||||
:widths: 50 50 50
|
||||
:header-rows: 1
|
||||
|
||||
* - Environment Variable Key
|
||||
- Default
|
||||
- Description
|
||||
* - llama_cpp_prompt_template
|
||||
- None
|
||||
- Prompt template name, now support: zero_shot, vicuna_v1.1,alpaca,llama-2,baichuan-chat,internlm-chat, If None, the prompt template is automatically determined from model path。
|
||||
* - llama_cpp_model_path
|
||||
- None
|
||||
- Model path
|
||||
* - llama_cpp_n_gpu_layers
|
||||
- 1000000000
|
||||
- Number of layers to offload to the GPU, Set this to 1000000000 to offload all layers to the GPU. If your GPU VRAM is not enough, you can set a low number, eg: 10
|
||||
* - llama_cpp_n_threads
|
||||
- None
|
||||
- Number of threads to use. If None, the number of threads is automatically determined
|
||||
* - llama_cpp_n_batch
|
||||
- 512
|
||||
- Maximum number of prompt tokens to batch together when calling llama_eval
|
||||
* - llama_cpp_n_gqa
|
||||
- None
|
||||
- Grouped-query attention. Must be 8 for llama-2 70b.
|
||||
* - llama_cpp_rms_norm_eps
|
||||
- 5e-06
|
||||
- 5e-6 is a good value for llama-2 models.
|
||||
* - llama_cpp_cache_capacity
|
||||
- None
|
||||
- Maximum cache capacity. Examples: 2000MiB, 2GiB
|
||||
* - llama_cpp_prefer_cpu
|
||||
- False
|
||||
- If a GPU is available, it will be preferred by default, unless prefer_cpu=False is configured.
|
||||
|
||||
|
||||
.. tab:: vllm
|
||||
|
||||
vLLM is a fast and easy-to-use library for LLM inference and serving.
|
||||
|
||||
**Running vLLM**
|
||||
|
||||
**1.Installing Dependencies**
|
||||
|
||||
vLLM is an optional dependency in DB-GPT, and you can manually install it using the following command:
|
||||
|
||||
.. code-block::
|
||||
|
||||
pip install -e ".[vllm]"
|
||||
|
||||
**2.Modifying the Configuration File**
|
||||
|
||||
Next, you can directly modify your .env file to enable vllm.
|
||||
|
||||
.. code-block::
|
||||
|
||||
LLM_MODEL=vicuna-13b-v1.5
|
||||
MODEL_TYPE=vllm
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
3.Prepare sql example(Optional)
|
||||
-----------------
|
||||
**(Optional) load examples into SQLite**
|
||||
|
||||
.. code-block:: shell
|
||||
|
||||
bash ./scripts/examples/load_examples.sh
|
||||
|
||||
|
||||
On windows platform:
|
||||
|
||||
.. code-block:: shell
|
||||
|
||||
.\scripts\examples\load_examples.bat
|
||||
|
||||
4.Run db-gpt server
|
||||
-----------------
|
||||
|
||||
.. code-block:: shell
|
||||
|
||||
|
||||
python pilot/server/dbgpt_server.py
|
||||
|
||||
**Open http://localhost:5000 with your browser to see the product.**
|
||||
|
||||
@@ -8,7 +8,7 @@ msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2023-08-17 13:07+0800\n"
|
||||
"POT-Creation-Date: 2023-11-02 10:10+0800\n"
|
||||
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
|
||||
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
|
||||
"Language: zh_CN\n"
|
||||
@@ -20,290 +20,292 @@ msgstr ""
|
||||
"Generated-By: Babel 2.12.1\n"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:1
|
||||
#: be341d16f7b24bf4ad123ab78a6d855a
|
||||
#: 28d2f84fc8884e78afad8118cd59c654
|
||||
#, fuzzy
|
||||
msgid "Environment Parameter"
|
||||
msgstr "环境变量说明"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:4
|
||||
#: 46eddb27c90f41548ea9a724bbcebd37
|
||||
#: c83fbb5e1aa643cdb09fffe7f3d1a3c5
|
||||
msgid "LLM MODEL Config"
|
||||
msgstr "模型配置"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:5
|
||||
#: 7deaa85df4a04fb098f5994547a8724f
|
||||
#: eb675965ae57407e8d8bf90fed8e9e2a
|
||||
msgid "LLM Model Name, see /pilot/configs/model_config.LLM_MODEL_CONFIG"
|
||||
msgstr "LLM Model Name, see /pilot/configs/model_config.LLM_MODEL_CONFIG"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:6
|
||||
#: 3902801c546547b3a4009df681ef7d52
|
||||
#: 5d28d35126d849ea9b0d963fd1ba8699
|
||||
msgid "LLM_MODEL=vicuna-13b"
|
||||
msgstr "LLM_MODEL=vicuna-13b"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:8
|
||||
#: 84b0fdbfa1544ec28751e9b69b00cc02
|
||||
#: 01955b2d0fbe4d94939ebf2cbb380bdd
|
||||
msgid "MODEL_SERVER_ADDRESS"
|
||||
msgstr "MODEL_SERVER_ADDRESS"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:9
|
||||
#: 0b430bfab77d405989470d00ca3f6fe0
|
||||
#: 4eaaa9ab59854c0386b28b3111c82784
|
||||
msgid "MODEL_SERVER=http://127.0.0.1:8000 LIMIT_MODEL_CONCURRENCY"
|
||||
msgstr "MODEL_SERVER=http://127.0.0.1:8000 LIMIT_MODEL_CONCURRENCY"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:12
|
||||
#: b477a25586c546729a93fb6785b7b2ec
|
||||
#: 5c2dd05e16834443b7451c2541b59757
|
||||
msgid "LIMIT_MODEL_CONCURRENCY=5"
|
||||
msgstr "LIMIT_MODEL_CONCURRENCY=5"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:14
|
||||
#: 1d6ea800af384fff9c265610f71cc94e
|
||||
#: 7707836c2fb04e7da13d2d59b5f9566f
|
||||
msgid "MAX_POSITION_EMBEDDINGS"
|
||||
msgstr "MAX_POSITION_EMBEDDINGS"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:16
|
||||
#: 388e758ce4ea4692a4c34294cebce7f2
|
||||
#: ee24a7d3d8384e61b715ef3bd362b965
|
||||
msgid "MAX_POSITION_EMBEDDINGS=4096"
|
||||
msgstr "MAX_POSITION_EMBEDDINGS=4096"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:18
|
||||
#: 16a307dce1294ceba892ff93ae4e81c0
|
||||
#: 90b51aa4e46b4d1298c672e0052c2f68
|
||||
msgid "QUANTIZE_QLORA"
|
||||
msgstr "QUANTIZE_QLORA"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:20
|
||||
#: 93ceb2b2fcd5454b82eefb0ae8c7ae77
|
||||
#: 7de7a8eb431e4973ae00f68ca0686281
|
||||
msgid "QUANTIZE_QLORA=True"
|
||||
msgstr "QUANTIZE_QLORA=True"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:22
|
||||
#: 15ffa35d023a4530b02a85ee6168dd4b
|
||||
#: e331ca016a474f4aa4e9182165a2693a
|
||||
msgid "QUANTIZE_8bit"
|
||||
msgstr "QUANTIZE_8bit"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:24
|
||||
#: 81df248ac5cb4ab0b13a711505f6a177
|
||||
#: 519ccce5a0884778be2719c437a17bd4
|
||||
msgid "QUANTIZE_8bit=True"
|
||||
msgstr "QUANTIZE_8bit=True"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:27
|
||||
#: 15cc7b7d41ad44f0891c1189709f00f1
|
||||
#: 1c0586d070f046de8d0f9f94a6b508b4
|
||||
msgid "LLM PROXY Settings"
|
||||
msgstr "LLM PROXY Settings"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:28
|
||||
#: e6c1115a39404f11b193a1593bc51a22
|
||||
#: c208c3f4b13f4b39962de814e5be6ab9
|
||||
msgid "OPENAI Key"
|
||||
msgstr "OPENAI Key"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:30
|
||||
#: 8157e0a831fe4506a426822b7565e4f6
|
||||
#: 9228bbee2faa4467b1d24f1125faaac8
|
||||
msgid "PROXY_API_KEY={your-openai-sk}"
|
||||
msgstr "PROXY_API_KEY={your-openai-sk}"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:31
|
||||
#: 89b34d00bdb64e738bd9bc8c086b1f02
|
||||
#: 759ae581883348019c1ba79e8954728a
|
||||
msgid "PROXY_SERVER_URL=https://api.openai.com/v1/chat/completions"
|
||||
msgstr "PROXY_SERVER_URL=https://api.openai.com/v1/chat/completions"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:33
|
||||
#: 7a97df730aeb484daf19c8172e61a290
|
||||
#: 83f3952917d34aab80bd34119f7d1e20
|
||||
msgid "from https://bard.google.com/ f12-> application-> __Secure-1PSID"
|
||||
msgstr "from https://bard.google.com/ f12-> application-> __Secure-1PSID"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:35
|
||||
#: d430ddf726a049c0a9e0a9bfd5a6fe0e
|
||||
#: 1d70707ca82749bb90b2bed1aee44d62
|
||||
msgid "BARD_PROXY_API_KEY={your-bard-token}"
|
||||
msgstr "BARD_PROXY_API_KEY={your-bard-token}"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:38
|
||||
#: 23d6b0da3e7042abb55f6181c4a382d2
|
||||
#: 38a2091fa223493ea23cb9bbb33cf58e
|
||||
msgid "DATABASE SETTINGS"
|
||||
msgstr "DATABASE SETTINGS"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:39
|
||||
#: dbae0a2d847f41f5be9396a160ef88d0
|
||||
#: 5134180d7a5945b48b072a1eb92b27ba
|
||||
msgid "SQLite database (Current default database)"
|
||||
msgstr "SQLite database (Current default database)"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:40
|
||||
#: bdb55b7280c341a981e9d338cce53345
|
||||
#: 6875e2300e094668a45fa4f2551e0d30
|
||||
msgid "LOCAL_DB_PATH=data/default_sqlite.db"
|
||||
msgstr "LOCAL_DB_PATH=data/default_sqlite.db"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:41
|
||||
#: 739d67927a9d46b28500deba1917916b
|
||||
#: 034e8f06f24f44af9d8184563f99b4b3
|
||||
msgid "LOCAL_DB_TYPE=sqlite # Database Type default:sqlite"
|
||||
msgstr "LOCAL_DB_TYPE=sqlite # Database Type default:sqlite"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:43
|
||||
#: eb4717bce6a6483b86d9780d924c5ff1
|
||||
#: f688149a97f740269f80b79775236ce9
|
||||
msgid "MYSQL database"
|
||||
msgstr "MYSQL database"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:44
|
||||
#: 0f4cdf0ff5dd4ff0b397dfa88541a2e1
|
||||
#: 6db0b305137d45a3aa036e4f2262f460
|
||||
msgid "LOCAL_DB_TYPE=mysql"
|
||||
msgstr "LOCAL_DB_TYPE=mysql"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:45
|
||||
#: c971ead492c34487bd766300730a9cba
|
||||
#: b6d662ce8d5f44f0b54a7f6e7c66f5a5
|
||||
msgid "LOCAL_DB_USER=root"
|
||||
msgstr "LOCAL_DB_USER=root"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:46
|
||||
#: 02828b29ad044eeab890a2f8af0e5907
|
||||
#: cd7493d61ac9415283640dc6c018d2f4
|
||||
msgid "LOCAL_DB_PASSWORD=aa12345678"
|
||||
msgstr "LOCAL_DB_PASSWORD=aa12345678"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:47
|
||||
#: 53dc7f15b3934987b1f4c2e2d0b11299
|
||||
#: 4ea2a622b23f4342a4c2ab7f8d9c4e8d
|
||||
msgid "LOCAL_DB_HOST=127.0.0.1"
|
||||
msgstr "LOCAL_DB_HOST=127.0.0.1"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:48
|
||||
#: 1ac95fc482934247a118bab8dcebeb57
|
||||
#: 936db95a0ab246098028f4dbb596cd17
|
||||
msgid "LOCAL_DB_PORT=3306"
|
||||
msgstr "LOCAL_DB_PORT=3306"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:51
|
||||
#: 34e46aa926844be19c7196759b03af63
|
||||
#: d9255f25989840ea9c9e7b34f3947c87
|
||||
msgid "EMBEDDING SETTINGS"
|
||||
msgstr "EMBEDDING SETTINGS"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:52
|
||||
#: 2b5aa08cc995495e85a1f7dc4f97b5d7
|
||||
#: b09291d32aca43928a981e873476a985
|
||||
msgid "EMBEDDING MODEL Name, see /pilot/configs/model_config.LLM_MODEL_CONFIG"
|
||||
msgstr "EMBEDDING模型, 参考see /pilot/configs/model_config.LLM_MODEL_CONFIG"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:53
|
||||
#: 0de0ca551ed040248406f848feca541d
|
||||
#: 63de573b03a54413b997f18a1ccee279
|
||||
msgid "EMBEDDING_MODEL=text2vec"
|
||||
msgstr "EMBEDDING_MODEL=text2vec"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:55
|
||||
#: 43019fb570904c9981eb68f33e64569c
|
||||
#: 0ef8defbab544bd0b9475a036f278489
|
||||
msgid "Embedding Chunk size, default 500"
|
||||
msgstr "Embedding 切片大小, 默认500"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:57
|
||||
#: 7e3f93854873461286e96887e04167aa
|
||||
#: 33dbc7941d054baa8c6ecfc0bf1ce271
|
||||
msgid "KNOWLEDGE_CHUNK_SIZE=500"
|
||||
msgstr "KNOWLEDGE_CHUNK_SIZE=500"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:59
|
||||
#: 9504f4a59ae74352a524b7741113e2d6
|
||||
#: e6ee9f2620ab45ecbc8e9c0642f5ca42
|
||||
msgid "Embedding Chunk Overlap, default 100"
|
||||
msgstr "Embedding chunk Overlap, 文本块之间的最大重叠量。保留一些重叠可以保持文本块之间的连续性（例如使用滑动窗口）,默认100"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:60
|
||||
#: 24e6119c2051479bbd9dba71a9c23dbe
|
||||
#: fcddf64340a04df4ab95176fc2fc67a6
|
||||
msgid "KNOWLEDGE_CHUNK_OVERLAP=100"
|
||||
msgstr "KNOWLEDGE_CHUNK_OVERLAP=100"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:62
|
||||
#: 0d180d7f2230442abee901c19526e442
|
||||
msgid "embeding recall top k,5"
|
||||
#: 61272200194b4461a921581feb1273da
|
||||
#, fuzzy
|
||||
msgid "embedding recall top k,5"
|
||||
msgstr "embedding 召回topk, 默认5"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:64
|
||||
#: a5bb9ab2ba50411cbbe87f7836bfbb6d
|
||||
#: b433091f055542b1b89ff2d525ac99e4
|
||||
msgid "KNOWLEDGE_SEARCH_TOP_SIZE=5"
|
||||
msgstr "KNOWLEDGE_SEARCH_TOP_SIZE=5"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:66
|
||||
#: 183b8dd78cba4ae19bd2e08d69d21e0b
|
||||
msgid "embeding recall max token ,2000"
|
||||
#: 1db0de41aebd4caa8cc2eaecb4cacd6a
|
||||
#, fuzzy
|
||||
msgid "embedding recall max token ,2000"
|
||||
msgstr "embedding向量召回最大token, 默认2000"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:68
|
||||
#: ce0c711febcb44c18ae0fc858c3718d1
|
||||
#: 81b9d862e58941a4b09680a7520cdabe
|
||||
msgid "KNOWLEDGE_SEARCH_MAX_TOKEN=5"
|
||||
msgstr "KNOWLEDGE_SEARCH_MAX_TOKEN=5"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:71
|
||||
#: ../../getting_started/install/environment/environment.md:87
|
||||
#: 4cab1f399cc245b4a1a1976d2c4fc926 ec9cec667a1c4473bf9a796a26e1ce20
|
||||
#: cac73575d54544778bdee09b18532fd9 f78a509949a64f03aa330f31901e2e7a
|
||||
msgid "Vector Store SETTINGS"
|
||||
msgstr "Vector Store SETTINGS"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:72
|
||||
#: ../../getting_started/install/environment/environment.md:88
|
||||
#: 4dd04aadd46948a5b1dcf01fdb0ef074 bab7d512f33e40cf9e10f0da67e699c8
|
||||
#: 5ebba1cb047b4b09849000244237dfbb 7e9285e91bcb4b2d9413909c0d0a06a7
|
||||
msgid "Chroma"
|
||||
msgstr "Chroma"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:73
|
||||
#: ../../getting_started/install/environment/environment.md:89
|
||||
#: 13eec36741b14e028e2d3859a320826e ab3ffbcf9358401993af636ba9ab2e2d
|
||||
#: 05625cfcc23c4745ae1fa0d94ce5450c 3a8615f1507f4fc49d1adda5100a4edf
|
||||
msgid "VECTOR_STORE_TYPE=Chroma"
|
||||
msgstr "VECTOR_STORE_TYPE=Chroma"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:74
|
||||
#: ../../getting_started/install/environment/environment.md:90
|
||||
#: d15b91e2a2884f23a1dd2d54783b0638 d1f856d571b547098bb0c2a18f9f1979
|
||||
#: 5b559376aea44f159262e6d4b75c7ec1 e954782861404b10b4e893e01cf74452
|
||||
msgid "MILVUS"
|
||||
msgstr "MILVUS"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:75
|
||||
#: ../../getting_started/install/environment/environment.md:91
|
||||
#: 1e165f6c934343c7808459cc7a65bc70 985dd60c2b7d4baaa6601a810a6522d7
|
||||
#: 55ee8199c97a4929aeefd32370f2b92d 8f40c02543ea4a2ca9632dd9e8a08c2e
|
||||
msgid "VECTOR_STORE_TYPE=Milvus"
|
||||
msgstr "VECTOR_STORE_TYPE=Milvus"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:76
|
||||
#: ../../getting_started/install/environment/environment.md:92
|
||||
#: a1a53f051cee40ed886346a94babd75a d263e8eaee684935a58f0a4fe61c6f0e
|
||||
#: 528a01d25720491c8e086bf43a62ad92 ba1386d551d7494a85681a2803081a6f
|
||||
msgid "MILVUS_URL=127.0.0.1"
|
||||
msgstr "MILVUS_URL=127.0.0.1"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:77
|
||||
#: ../../getting_started/install/environment/environment.md:93
|
||||
#: 2741a312db1a4c6a8a1c1d62415c5fba d03bbf921ddd4f4bb715fe5610c3d0aa
|
||||
#: b031950dafcd4d4783c120dc933c4178 c2e9c8cdd41741e3aba01e59a6ef245d
|
||||
msgid "MILVUS_PORT=19530"
|
||||
msgstr "MILVUS_PORT=19530"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:78
|
||||
#: ../../getting_started/install/environment/environment.md:94
|
||||
#: d0786490d38c4e4f971cc14f62fe1fc8 e9e0854873dc4c209861ee4eb77d25cd
|
||||
#: 27b0a64af6434cb2840373e2b38c9bd5 d0e4d79af7954b129ffff7303a1ec3ce
|
||||
msgid "MILVUS_USERNAME"
|
||||
msgstr "MILVUS_USERNAME"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:79
|
||||
#: ../../getting_started/install/environment/environment.md:95
|
||||
#: 9a82d07153cc432ebe754b5bc02fde0d a6485c1cfa7d4069a6894c43674c8c2b
|
||||
#: 27aa1a5b61e64dd6bfe29124e274809e 5c58892498ce4f46a59f54b2887822d4
|
||||
msgid "MILVUS_PASSWORD"
|
||||
msgstr "MILVUS_PASSWORD"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:80
|
||||
#: ../../getting_started/install/environment/environment.md:96
|
||||
#: 2f233f32b8ba408a9fbadb21fabb99ec 809b3219dd824485bc2cfc898530d708
|
||||
#: 009e57d4acc5434da2146f0545911c85 bac8888dcbff47fbb0ea8ae685445aac
|
||||
msgid "MILVUS_SECURE="
|
||||
msgstr "MILVUS_SECURE="
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:82
|
||||
#: ../../getting_started/install/environment/environment.md:98
|
||||
#: f00603661f2b42e1bd2bca74ad1e3c31 f378e16fdec44c559e34c6929de812e8
|
||||
#: a6eeb16ab5274045bee88ecc3d93e09e eb341774403d47658b9b7e94c4c16d5c
|
||||
msgid "WEAVIATE"
|
||||
msgstr "WEAVIATE"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:83
|
||||
#: da2049ebc6874cf0a6b562e0e2fd9ec7
|
||||
#: fbd97522d8da4824b41b99298fd41069
|
||||
msgid "VECTOR_STORE_TYPE=Weaviate"
|
||||
msgstr "VECTOR_STORE_TYPE=Weaviate"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:84
|
||||
#: ../../getting_started/install/environment/environment.md:99
|
||||
#: 25f1246629934289aad7ef01c7304097 c9fe0e413d9a4fc8abf86b3ed99e0581
|
||||
#: 341785b4abfe42b5af1c2e04497261f4 a81cc2aabc8240f3ac1f674d9350bff4
|
||||
msgid "WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network"
|
||||
msgstr "WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:102
|
||||
#: ba7c9e707f6a4cd6b99e52b58da3ab2d
|
||||
#: 5bb9e5daa36241d499089c1b1910f729
|
||||
msgid "Multi-GPU Setting"
|
||||
msgstr "Multi-GPU Setting"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:103
|
||||
#: 5ca75fdf2c264b2c844d77f659b4f0b3
|
||||
#: 30df45b7f1f7423c9f18c6360f0b7600
|
||||
msgid ""
|
||||
"See https://developer.nvidia.com/blog/cuda-pro-tip-control-gpu-"
|
||||
"visibility-cuda_visible_devices/ If CUDA_VISIBLE_DEVICES is not "
|
||||
@@ -313,49 +315,49 @@ msgstr ""
|
||||
"cuda_visible_devices/ 如果 CUDA_VISIBLE_DEVICES没有设置, 会使用所有可用的gpu"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:106
|
||||
#: de92eb310aff43fbbbf3c5a116c3b2c6
|
||||
#: 8631ea968dfb4d90a7ae6bdb2acdfdce
|
||||
msgid "CUDA_VISIBLE_DEVICES=0"
|
||||
msgstr "CUDA_VISIBLE_DEVICES=0"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:108
|
||||
#: d2641df6123a442b8e4444ad5f01a9aa
|
||||
#: 0010422280dd4fe79326ebceb2a66f0e
|
||||
msgid ""
|
||||
"Optionally, you can also specify the gpu ID to use before the starting "
|
||||
"command"
|
||||
msgstr "你也可以通过启动命令设置gpu ID"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:110
|
||||
#: 76c66179d11a4e5fa369421378609aae
|
||||
#: 00106f7341304fbd9425721ea8e6a261
|
||||
msgid "CUDA_VISIBLE_DEVICES=3,4,5,6"
|
||||
msgstr "CUDA_VISIBLE_DEVICES=3,4,5,6"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:112
|
||||
#: 29bd0f01fdf540ad98385ea8473f7647
|
||||
#: 720aa8b3478744d78e4b10dfeccb50b4
|
||||
msgid "You can configure the maximum memory used by each GPU."
|
||||
msgstr "可以设置GPU的最大内存"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:114
|
||||
#: 31e5e23838734ba7a2810e2387e6d6a0
|
||||
#: f9639ac96a244296832c75bbcbdae2af
|
||||
msgid "MAX_GPU_MEMORY=16Gib"
|
||||
msgstr "MAX_GPU_MEMORY=16Gib"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:117
|
||||
#: 99aa63ab1ae049d9b94536d6a96f3443
|
||||
#: fc4d955fdb3e4256af5c8f29b042dcd6
|
||||
msgid "Other Setting"
|
||||
msgstr "Other Setting"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:118
|
||||
#: 3168732183874bffb59a3575d3473d62
|
||||
#: 66b14a834e884339be2d48392e884933
|
||||
msgid "Language Settings(influence prompt language)"
|
||||
msgstr "Language Settings(涉及prompt语言以及知识切片方式)"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:119
|
||||
#: 73eb0a96f29b4739bd456faa9cb5033d
|
||||
#: 5c9f05174eb84edd9e1316cc0721a840
|
||||
msgid "LANGUAGE=en"
|
||||
msgstr "LANGUAGE=en"
|
||||
|
||||
#: ../../getting_started/install/environment/environment.md:120
|
||||
#: c6646b78c6cf4d25a13108232f5b2046
|
||||
#: 7f6d62117d024c51bba9255fa4fcf151
|
||||
msgid "LANGUAGE=zh"
|
||||
msgstr "LANGUAGE=zh"
|
||||
|
||||
|
||||
@@ -8,7 +8,7 @@ msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: DB-GPT 0.3.0\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2023-07-13 15:39+0800\n"
|
||||
"POT-Creation-Date: 2023-11-02 10:10+0800\n"
|
||||
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
|
||||
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
|
||||
"Language: zh_CN\n"
|
||||
@@ -19,103 +19,84 @@ msgstr ""
|
||||
"Content-Transfer-Encoding: 8bit\n"
|
||||
"Generated-By: Babel 2.12.1\n"
|
||||
|
||||
#: ../../modules/knowledge.rst:2 ../../modules/knowledge.rst:136
|
||||
#: 3cc8fa6e9fbd4d889603d99424e9529a
|
||||
#: ../../modules/knowledge.md:1 436b94d3a8374ed18feb5c14893a84e6
|
||||
msgid "Knowledge"
|
||||
msgstr "知识"
|
||||
|
||||
#: ../../modules/knowledge.rst:4 0465a393d9d541958c39c1d07c885d1f
|
||||
#: ../../modules/knowledge.md:3 918a3747cbed42d18b8c9c4547e67b14
|
||||
#, fuzzy
|
||||
msgid ""
|
||||
"As the knowledge base is currently the most significant user demand "
|
||||
"scenario, we natively support the construction and processing of "
|
||||
"knowledge bases. At the same time, we also provide multiple knowledge "
|
||||
"base management strategies in this project, such as pdf knowledge,md "
|
||||
"knowledge, txt knowledge, word knowledge, ppt knowledge:"
|
||||
"base management strategies in this project, such as:"
|
||||
msgstr ""
|
||||
"由于知识库是当前用户需求最显著的场景，我们原生支持知识库的构建和处理。同时，我们还在本项目中提供了多种知识库管理策略，如:pdf,md , "
|
||||
"txt, word, ppt"
|
||||
|
||||
#: ../../modules/knowledge.rst:6 e670cbe14d8e4da88ba935e4120c31e0
|
||||
msgid ""
|
||||
"We currently support many document formats: raw text, txt, pdf, md, html,"
|
||||
" doc, ppt, and url. In the future, we will continue to support more types"
|
||||
" of knowledge, including audio, video, various databases, and big data "
|
||||
"sources. Of course, we look forward to your active participation in "
|
||||
"contributing code."
|
||||
#: ../../modules/knowledge.md:4 d4d4b5d57918485aafa457bb9fdcf626
|
||||
msgid "Default built-in knowledge base"
|
||||
msgstr ""
|
||||
|
||||
#: ../../modules/knowledge.rst:9 e0bf601a1a0c458297306db6ff79f931
|
||||
msgid "**Create your own knowledge repository**"
|
||||
#: ../../modules/knowledge.md:5 d4d4b5d57918485aafa457bb9fdcf626
|
||||
msgid "Custom addition of knowledge bases"
|
||||
msgstr ""
|
||||
|
||||
#: ../../modules/knowledge.md:6 984361ce835c4c3492e29e1fb897348a
|
||||
msgid ""
|
||||
"Various usage scenarios such as constructing knowledge bases through "
|
||||
"plugin capabilities and web crawling. Users only need to organize the "
|
||||
"knowledge documents, and they can use our existing capabilities to build "
|
||||
"the knowledge base required for the large model."
|
||||
msgstr ""
|
||||
|
||||
#: ../../modules/knowledge.md:9 746e4fbd3212460198be51b90caee2c8
|
||||
#, fuzzy
|
||||
msgid "Create your own knowledge repository"
|
||||
msgstr "创建你自己的知识库"
|
||||
|
||||
#: ../../modules/knowledge.rst:11 bb26708135d44615be3c1824668010f6
|
||||
msgid "1.prepare"
|
||||
msgstr "准备"
|
||||
#: ../../modules/knowledge.md:11 1c46b33b0532417c824efbaa3e687c3f
|
||||
msgid ""
|
||||
"1.Place personal knowledge files or folders in the pilot/datasets "
|
||||
"directory."
|
||||
msgstr ""
|
||||
|
||||
#: ../../modules/knowledge.rst:13 c150a0378f3e4625908fa0d8a25860e9
|
||||
#: ../../modules/knowledge.md:13 3b16f387b5354947a89d6df77bd65bdb
|
||||
#, fuzzy
|
||||
msgid ""
|
||||
"We currently support many document formats: TEXT(raw text), "
|
||||
"DOCUMENT(.txt, .pdf, .md, .doc, .ppt, .html), and URL."
|
||||
"We currently support many document formats: txt, pdf, md, html, doc, ppt,"
|
||||
" and url."
|
||||
msgstr "当前支持txt, pdf, md, html, doc, ppt, url文档格式"
|
||||
|
||||
#: ../../modules/knowledge.rst:15 7f9f02a93d5d4325b3d2d976f4bb28a0
|
||||
#: ../../modules/knowledge.md:15 09ec337d7da4418db854e58afb6c0980
|
||||
msgid "before execution:"
|
||||
msgstr "开始前"
|
||||
|
||||
#: ../../modules/knowledge.rst:24 59699a8385e04982a992cf0d71f6dcd5
|
||||
#, fuzzy
|
||||
#: ../../modules/knowledge.md:22 c09b3decb018485f8e56830ddc156194
|
||||
msgid ""
|
||||
"2.prepare embedding model, you can download from https://huggingface.co/."
|
||||
" Notice you have installed git-lfs."
|
||||
"2.Update your .env, set your vector store type, VECTOR_STORE_TYPE=Chroma "
|
||||
"(now only support Chroma and Milvus, if you set Milvus, please set "
|
||||
"MILVUS_URL and MILVUS_PORT)"
|
||||
msgstr ""
|
||||
"提前准备Embedding Model, 你可以在https://huggingface.co/进行下载，注意：你需要先安装git-lfs.eg:"
|
||||
" git clone https://huggingface.co/THUDM/chatglm2-6b"
|
||||
|
||||
#: ../../modules/knowledge.rst:27 2be1a17d0b54476b9dea080d244fd747
|
||||
msgid ""
|
||||
"eg: git clone https://huggingface.co/sentence-transformers/all-"
|
||||
"MiniLM-L6-v2"
|
||||
msgstr "eg: git clone https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2"
|
||||
|
||||
#: ../../modules/knowledge.rst:33 d328f6e243624c9488ebd27c9324621b
|
||||
msgid ""
|
||||
"3.prepare vector_store instance and vector store config, now we support "
|
||||
"Chroma, Milvus and Weaviate."
|
||||
msgstr "提前准备向量数据库环境，目前支持Chroma, Milvus and Weaviate向量数据库"
|
||||
|
||||
#: ../../modules/knowledge.rst:63 44f97154eff647d399fd30b6f9e3b867
|
||||
msgid ""
|
||||
"3.init Url Type EmbeddingEngine api and embedding your document into "
|
||||
"vector store in your code."
|
||||
msgstr "初始化 Url类型 EmbeddingEngine api， 将url文档embedding向量化到向量数据库 "
|
||||
|
||||
#: ../../modules/knowledge.rst:75 e2581b414f0148bca88253c7af9cd591
|
||||
msgid "If you want to add your source_reader or text_splitter, do this:"
|
||||
msgstr "如果你想手动添加你自定义的source_reader和text_splitter, 请参考:"
|
||||
|
||||
#: ../../modules/knowledge.rst:95 74c110414f924bbfa3d512e45ba2f30f
|
||||
#, fuzzy
|
||||
msgid ""
|
||||
"4.init Document Type EmbeddingEngine api and embedding your document into"
|
||||
" vector store in your code. Document type can be .txt, .pdf, .md, .doc, "
|
||||
".ppt."
|
||||
#: ../../modules/knowledge.md:25 74460ec7709441d5945ce9f745a26d20
|
||||
msgid "2.Run the knowledge repository initialization command"
|
||||
msgstr ""
|
||||
"初始化 文档型类型 EmbeddingEngine api， 将文档embedding向量化到向量数据库(文档可以是.txt, .pdf, "
|
||||
".md, .html, .doc, .ppt)"
|
||||
|
||||
#: ../../modules/knowledge.rst:108 0afd40098d5f4dfd9e44fe1d8004da25
|
||||
#: ../../modules/knowledge.md:31 4498ec4e46ff4e24b45dd855e829bd32
|
||||
msgid ""
|
||||
"5.init TEXT Type EmbeddingEngine api and embedding your document into "
|
||||
"vector store in your code."
|
||||
msgstr "初始化TEXT类型 EmbeddingEngine api， 将文档embedding向量化到向量数据库"
|
||||
"Optionally, you can run `dbgpt knowledge load --help` command to see more"
|
||||
" usage."
|
||||
msgstr ""
|
||||
|
||||
#: ../../modules/knowledge.rst:120 a66961bf3efd41fa8ea938129446f5a5
|
||||
msgid "4.similar search based on your knowledge base. ::"
|
||||
msgstr "在知识库进行相似性搜索"
|
||||
#: ../../modules/knowledge.md:33 5048ac3289e540f2a2b5fd0e5ed043f5
|
||||
msgid ""
|
||||
"3.Add the knowledge repository in the interface by entering the name of "
|
||||
"your knowledge repository (if not specified, enter \"default\") so you "
|
||||
"can use it for Q&A based on your knowledge base."
|
||||
msgstr ""
|
||||
|
||||
#: ../../modules/knowledge.rst:126 b7066f408378450db26770f83fbd2716
|
||||
#: ../../modules/knowledge.md:35 deeccff20f7f453dad0881b63dae2a18
|
||||
msgid ""
|
||||
"Note that the default vector model used is text2vec-large-chinese (which "
|
||||
"is a large model, so if your personal computer configuration is not "
|
||||
@@ -125,48 +106,6 @@ msgstr ""
|
||||
"注意，这里默认向量模型是text2vec-large-chinese(模型比较大，如果个人电脑配置不够建议采用text2vec-base-"
|
||||
"chinese),因此确保需要将模型download下来放到models目录中。"
|
||||
|
||||
#: ../../modules/knowledge.rst:128 58481d55cab74936b6e84b24c39b1674
|
||||
#, fuzzy
|
||||
msgid ""
|
||||
"`pdf_embedding <./knowledge/pdf/pdf_embedding.html>`_: supported pdf "
|
||||
"embedding."
|
||||
msgstr "pdf_embedding <./knowledge/pdf_embedding.html>`_: supported pdf embedding."
|
||||
|
||||
#: ../../modules/knowledge.rst:129 fbb013c4f1bc46af910c91292f6690cf
|
||||
#, fuzzy
|
||||
msgid ""
|
||||
"`markdown_embedding <./knowledge/markdown/markdown_embedding.html>`_: "
|
||||
"supported markdown embedding."
|
||||
msgstr "pdf_embedding <./knowledge/pdf_embedding.html>`_: supported pdf embedding."
|
||||
|
||||
#: ../../modules/knowledge.rst:130 59d45732f4914d16b4e01aee0992edf7
|
||||
#, fuzzy
|
||||
msgid ""
|
||||
"`word_embedding <./knowledge/word/word_embedding.html>`_: supported word "
|
||||
"embedding."
|
||||
msgstr "pdf_embedding <./knowledge/pdf_embedding.html>`_: supported pdf embedding."
|
||||
|
||||
#: ../../modules/knowledge.rst:131 df0e6f311861423e885b38e020a7c0f0
|
||||
#, fuzzy
|
||||
msgid ""
|
||||
"`url_embedding <./knowledge/url/url_embedding.html>`_: supported url "
|
||||
"embedding."
|
||||
msgstr "pdf_embedding <./knowledge/pdf_embedding.html>`_: supported pdf embedding."
|
||||
|
||||
#: ../../modules/knowledge.rst:132 7c550c1f5bc34fe9986731fb465e12cd
|
||||
#, fuzzy
|
||||
msgid ""
|
||||
"`ppt_embedding <./knowledge/ppt/ppt_embedding.html>`_: supported ppt "
|
||||
"embedding."
|
||||
msgstr "pdf_embedding <./knowledge/pdf_embedding.html>`_: supported pdf embedding."
|
||||
|
||||
#: ../../modules/knowledge.rst:133 8648684cb191476faeeb548389f79050
|
||||
#, fuzzy
|
||||
msgid ""
|
||||
"`string_embedding <./knowledge/string/string_embedding.html>`_: supported"
|
||||
" raw text embedding."
|
||||
msgstr "pdf_embedding <./knowledge/pdf_embedding.html>`_: supported pdf embedding."
|
||||
|
||||
#~ msgid "before execution: python -m spacy download zh_core_web_sm"
|
||||
#~ msgstr "在执行之前请先执行python -m spacy download zh_core_web_sm"
|
||||
|
||||
@@ -201,3 +140,112 @@ msgstr "pdf_embedding <./knowledge/pdf_embedding.html>`_: supported pdf embeddin
|
||||
#~ "and MILVUS_PORT)"
|
||||
#~ msgstr "2.更新你的.env，设置你的向量存储类型，VECTOR_STORE_TYPE=Chroma(现在只支持Chroma和Milvus，如果你设置了Milvus，请设置MILVUS_URL和MILVUS_PORT)"
|
||||
|
||||
#~ msgid ""
|
||||
#~ "We currently support many document "
|
||||
#~ "formats: raw text, txt, pdf, md, "
|
||||
#~ "html, doc, ppt, and url. In the"
|
||||
#~ " future, we will continue to support"
|
||||
#~ " more types of knowledge, including "
|
||||
#~ "audio, video, various databases, and big"
|
||||
#~ " data sources. Of course, we look "
|
||||
#~ "forward to your active participation in"
|
||||
#~ " contributing code."
|
||||
#~ msgstr ""
|
||||
|
||||
#~ msgid "1.prepare"
|
||||
#~ msgstr "准备"
|
||||
|
||||
#~ msgid ""
|
||||
#~ "2.prepare embedding model, you can "
|
||||
#~ "download from https://huggingface.co/. Notice "
|
||||
#~ "you have installed git-lfs."
|
||||
#~ msgstr ""
|
||||
#~ "提前准备Embedding Model, 你可以在https://huggingface.co/进行下载，注意"
|
||||
#~ "：你需要先安装git-lfs.eg: git clone "
|
||||
#~ "https://huggingface.co/THUDM/chatglm2-6b"
|
||||
|
||||
#~ msgid ""
|
||||
#~ "eg: git clone https://huggingface.co/sentence-"
|
||||
#~ "transformers/all-MiniLM-L6-v2"
|
||||
#~ msgstr ""
|
||||
#~ "eg: git clone https://huggingface.co/sentence-"
|
||||
#~ "transformers/all-MiniLM-L6-v2"
|
||||
|
||||
#~ msgid ""
|
||||
#~ "3.prepare vector_store instance and vector "
|
||||
#~ "store config, now we support Chroma, "
|
||||
#~ "Milvus and Weaviate."
|
||||
#~ msgstr "提前准备向量数据库环境，目前支持Chroma, Milvus and Weaviate向量数据库"
|
||||
|
||||
#~ msgid ""
|
||||
#~ "3.init Url Type EmbeddingEngine api and"
|
||||
#~ " embedding your document into vector "
|
||||
#~ "store in your code."
|
||||
#~ msgstr "初始化 Url类型 EmbeddingEngine api， 将url文档embedding向量化到向量数据库 "
|
||||
|
||||
#~ msgid "If you want to add your source_reader or text_splitter, do this:"
|
||||
#~ msgstr "如果你想手动添加你自定义的source_reader和text_splitter, 请参考:"
|
||||
|
||||
#~ msgid ""
|
||||
#~ "4.init Document Type EmbeddingEngine api "
|
||||
#~ "and embedding your document into vector"
|
||||
#~ " store in your code. Document type"
|
||||
#~ " can be .txt, .pdf, .md, .doc, "
|
||||
#~ ".ppt."
|
||||
#~ msgstr ""
|
||||
#~ "初始化 文档型类型 EmbeddingEngine api， "
|
||||
#~ "将文档embedding向量化到向量数据库(文档可以是.txt, .pdf, .md, .html,"
|
||||
#~ " .doc, .ppt)"
|
||||
|
||||
#~ msgid ""
|
||||
#~ "5.init TEXT Type EmbeddingEngine api and"
|
||||
#~ " embedding your document into vector "
|
||||
#~ "store in your code."
|
||||
#~ msgstr "初始化TEXT类型 EmbeddingEngine api， 将文档embedding向量化到向量数据库"
|
||||
|
||||
#~ msgid "4.similar search based on your knowledge base. ::"
|
||||
#~ msgstr "在知识库进行相似性搜索"
|
||||
|
||||
#~ msgid ""
|
||||
#~ "`pdf_embedding <./knowledge/pdf/pdf_embedding.html>`_: "
|
||||
#~ "supported pdf embedding."
|
||||
#~ msgstr ""
|
||||
#~ "pdf_embedding <./knowledge/pdf_embedding.html>`_: "
|
||||
#~ "supported pdf embedding."
|
||||
|
||||
#~ msgid ""
|
||||
#~ "`markdown_embedding "
|
||||
#~ "<./knowledge/markdown/markdown_embedding.html>`_: supported "
|
||||
#~ "markdown embedding."
|
||||
#~ msgstr ""
|
||||
#~ "pdf_embedding <./knowledge/pdf_embedding.html>`_: "
|
||||
#~ "supported pdf embedding."
|
||||
|
||||
#~ msgid ""
|
||||
#~ "`word_embedding <./knowledge/word/word_embedding.html>`_: "
|
||||
#~ "supported word embedding."
|
||||
#~ msgstr ""
|
||||
#~ "pdf_embedding <./knowledge/pdf_embedding.html>`_: "
|
||||
#~ "supported pdf embedding."
|
||||
|
||||
#~ msgid ""
|
||||
#~ "`url_embedding <./knowledge/url/url_embedding.html>`_: "
|
||||
#~ "supported url embedding."
|
||||
#~ msgstr ""
|
||||
#~ "pdf_embedding <./knowledge/pdf_embedding.html>`_: "
|
||||
#~ "supported pdf embedding."
|
||||
|
||||
#~ msgid ""
|
||||
#~ "`ppt_embedding <./knowledge/ppt/ppt_embedding.html>`_: "
|
||||
#~ "supported ppt embedding."
|
||||
#~ msgstr ""
|
||||
#~ "pdf_embedding <./knowledge/pdf_embedding.html>`_: "
|
||||
#~ "supported pdf embedding."
|
||||
|
||||
#~ msgid ""
|
||||
#~ "`string_embedding <./knowledge/string/string_embedding.html>`_:"
|
||||
#~ " supported raw text embedding."
|
||||
#~ msgstr ""
|
||||
#~ "pdf_embedding <./knowledge/pdf_embedding.html>`_: "
|
||||
#~ "supported pdf embedding."
|
||||
|
||||
|
||||
@@ -9,9 +9,9 @@ sphinx_book_theme
|
||||
sphinx_rtd_theme==1.0.0
|
||||
sphinx-typlog-theme==0.8.0
|
||||
sphinx-panels
|
||||
sphinx-tabs==3.4.0
|
||||
toml
|
||||
myst_nb
|
||||
sphinx_copybutton
|
||||
pydata-sphinx-theme==0.13.1
|
||||
pydantic-settings
|
||||
furo
|
||||
Reference in New Issue
Block a user