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* modify for sphinx doc
* udpate sphinx doc config * update readme install part
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10
README.md
10
README.md
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@ -14,11 +14,11 @@ Equip your LLM chatbot with a powerful and flexible long term memory system.
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[](https://modelscope.github.io/memoryscope/tutorial/contribute.html)
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----
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## News
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## 📰 News
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- **[2024-09-06]** We release MemoryScope v0.1.1 now, which is also available in [PyPI](https://pypi.org/simple/memoryscope/)!
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----
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## What is MemoryScope?
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## 🌟 What is MemoryScope?
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MemoryScope provides LLM chatbots with powerful and flexible long-term memory capabilities, offering a framework for building such abilities.
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It can be applied to scenarios like personal assistants and emotional companions, continuously learning through long-term memory to remember users' basic information as well as various habits and preferences.
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This allows users to gradually experience a sense of "understanding" when using the LLM.
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@ -84,8 +84,8 @@ In the future, we will support more model interfaces and local deployment of LLM
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For installation, please refer to [Installation.md](docs/installation.md).
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## Example Usages
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- [Simple Usages (Quick Start)](./examples/api/simple_usages_en.ipynb)
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## 🍕 Example Usages
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- [Simple Usages (Quick Start)](./examples/api/simple_usages.ipynb)
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- [With AutoGen](./examples/api/autogen_example.md)
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- [CLI with a MemoryScope Chatbot](./examples/cli/README.md)
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- [Advanced Customization](./examples/advance/custom_operator.md)
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@ -102,7 +102,7 @@ poetry install --with dev
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pre-commit install
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```
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Please refer to our [Contribution Guide](./docs/contribute.md) for more details.
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Please refer to our [Contribution Guide](./docs/contribution.md) for more details.
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## 📖 Citation
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25
README_ZH.md
25
README_ZH.md
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@ -19,12 +19,12 @@
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----
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## 新闻
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## 📰 新闻
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- **[2024-09-06]** 我们现在发布了 MemoryScope v0.1.1,该版本也可以在 [PyPI](https://pypi.org/simple/memoryscope/) 上获取!
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----
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## 什么是MemoryScope?
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## 🌟 什么是MemoryScope?
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MemoryScope可以为LLM聊天机器人提供强大且灵活的长期记忆能力,并提供了构建长期记忆能力的框架。
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MemoryScope可以用于个人助理、情感陪伴等记忆场景,通过长期记忆能力来不断学习,记得用户的基础信息以及各种习惯和喜好,使得用户在使用LLM时逐渐感受到一种“默契”。
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@ -78,25 +78,10 @@ MemoryScope可以用于个人助理、情感陪伴等记忆场景,通过长期
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----
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## 🚀 安装
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### 1. 使用 Docker 安装
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### 2. 使用 Docker Compose 安装
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### 3. 使用 PYPI + Docker 安装 [仅限 Linux & MacOS]
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### 3. 使用 从源码安装 + Docker 安装 [仅限 Linux & MacOS]
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### Docker方式一键运行Demo
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<!--
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运行 `sudo docker run -it --rm --net=host memoryscope/memoryscope` 一键运行memoryscope的演示。
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-->
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完整的安装方法请参考[安装指南](docs/installation_zh.md)。
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## 快速开始
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- [简易用法(快速开始)](./examples/api/simple_usages_cn.ipynb)
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## 🍕 快速开始
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- [简易用法(快速开始)](./examples/api/simple_usages_zh.ipynb)
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- [在命令行与MemoryScope聊天机器人交互](./examples/cli/README_ZH.md)
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- [进阶自定义用法](./examples/advance/custom_operator.md)
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- [结合AutoGen使用](./examples/api/autogen_example.md)
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@ -110,7 +95,7 @@ MemoryScope可以用于个人助理、情感陪伴等记忆场景,通过长期
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pip install -e .
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pre-commit install
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```
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请参阅我们的[贡献指南](./docs/contribute_zh.md) 了解更多详细信息。
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请参阅我们的[贡献指南](./docs/contribution_zh.md) 了解更多详细信息。
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## 📖 引用
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@ -114,7 +114,7 @@ The docker method is recommended:
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docker.elastic.co/elasticsearch/elasticsearch:8.13.2
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```
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4. Launch memoryscope, also refer to [cli documents](../examples/cli/README.md)
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4. Launch memoryscope, also refer to [cli documents](../examples/cli/CLI_README.md)
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```bash
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export OPENAI_API_KEY="sk-0000000000"
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python quick-start-demo.py --config_path=memoryscope/core/config/demo_config_zh.yaml
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@ -115,7 +115,7 @@
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docker.elastic.co/elasticsearch/elasticsearch:8.13.2
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```
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4. 启动 MemoryScope,同时参考 [CLI 文档](../examples/cli/README.md)
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4. 启动 MemoryScope,同时参考 [CLI 文档](../examples/cli/CLI_README_ZH.md)
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```bash
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export DASHSCOPE_API_KEY="sk-0000000000"
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python quick-start-demo.py --config_path=memoryscope/core/config/demo_config_zh.yaml
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@ -6,8 +6,8 @@ ASSETSDIR = assets
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BUILDDIR = build/html
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SOURCEDIR_EN = en/source
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BUILDDIR_EN = build/html/en
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SOURCEDIR_ZH = zh_CN/source
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BUILDDIR_ZH = build/html/zh_CN
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SOURCEDIR_ZH = zh/source
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BUILDDIR_ZH = build/html/zh
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# English document
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en:
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@ -16,7 +16,7 @@ en:
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@echo "Build finished. The HTML pages are in $(BUILDDIR_EN)"
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# Chinese document
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zh_CN:
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zh:
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@$(SPHINXBUILD) -b html "$(SOURCEDIR_ZH)" "$(BUILDDIR_ZH)"
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@echo
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@echo "Build finished. The HTML pages are in $(BUILDDIR_ZH)"
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@ -27,6 +27,6 @@ index:
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%: Makefile
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@$(SPHINXBUILD) -M $@ "$(SOURCEDIR_EN)" "$(BUILDDIR_EN)" $(O)
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all: en zh_CN index
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all: en zh index
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.PHONY: all en zh_CN index
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.PHONY: all en zh index
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@ -1,11 +1,9 @@
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#!/bin/bash
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cd docs/sphinx_doc
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# remove build
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rm -rf build/html/*
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rm en/source/memoryscope*.rst
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rm zh_CN/source/memoryscope*.rst
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rm -rf en/source/memoryscope*.rst
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rm -rf zh/source/memoryscope*.rst
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# copy related files
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@ -13,29 +11,32 @@ cd ../../
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cp README.md docs/sphinx_doc/en/source/README.md
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cp docs/installation.md docs/sphinx_doc/en/source/docs/installation.md
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cp docs/contribution.md docs/sphinx_doc/en/source/docs/contribution.md
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cp -r docs/images docs/sphinx_doc/en/source/docs/images
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cp -r examples docs/sphinx_doc/en/source/examples
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cp README_ZH.md docs/sphinx_doc/zh_CN/source/README.md
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cp docs/installation_ZH.md docs/sphinx_doc/zh_CN/source/docs/installation.md
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cp -r docs/images docs/sphinx_doc/zh_CN/source/docs/images
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cp -r examples docs/sphinx_doc/zh_CN/source/examples
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cp README_ZH.md docs/sphinx_doc/zh/source/README.md
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cp docs/installation_zh.md docs/sphinx_doc/zh/source/docs/installation.md
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cp docs/contribution_zh.md docs/sphinx_doc/zh/source/docs/contribution.md
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cp -r docs/images docs/sphinx_doc/zh/source/docs/images
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cp -r examples docs/sphinx_doc/zh/source/examples
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# build
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cd docs/sphinx_doc
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sphinx-apidoc -f -o en/source ../../memoryscope -t template -e
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sphinx-apidoc -f -o zh_CN/source ../../memoryscope -t template -e
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sphinx-apidoc -f -o zh/source ../../memoryscope -t template -e
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# clear redundant files
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make clean all
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rm en/source/README.md
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rm en/source/docs/installation.md
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rm en/source/docs/contribution.md
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rm -rf en/source/docs/images
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rm -rf en/source/examples
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rm zh_CN/source/README.md
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rm zh_CN/source/docs/installation.md
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rm -rf zh_CN/source/docs/images
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rm -rf zh_CN/source/examples
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rm zh/source/README.md
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rm zh/source/docs/installation.md
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rm zh/source/docs/contribution.md
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rm -rf zh/source/docs/images
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rm -rf zh/source/examples
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@ -1,5 +1,5 @@
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<!-- language_selector.html -->
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<div class="language-selector">
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<a href="{{ pathto('../en/' + pagename) }}">English</a></li> |
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||||
<a href="{{ pathto('../zh_CN/' + pagename) }}">中文</a></li>
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<a href="{{ pathto('../zh/' + pagename) }}">中文</a></li>
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</div>
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|
|
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@ -14,25 +14,26 @@ Welcome to MemoryScope Tutorial
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.. image:: docs/images/logo.png
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:align: center
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MemoryScope is a powerful and flexible long term memory system for LLM chatbots. It consists
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||||
of a memory database and three customizable system operations, which can be flexibly combined to provide
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robust long term memory services for your LLM chatbot.
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MemoryScope provides LLM chatbots with powerful and flexible long-term memory capabilities, offering a framework for building such abilities.
|
||||
It can be applied to scenarios like personal assistants and emotional companions, continuously learning through long-term memory to remember users' basic information as well as various habits and preferences.
|
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This allows users to gradually experience a sense of "understanding" when using the LLM.
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💾 Memory Database:
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.. image:: docs/images/framework.png
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:align: center
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Framework
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^^^^^^^^^^^^^^^^^^^^
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- MemoryScope comes with an *ElasticSearch (ES)* vector database to store all the
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memory pieces recorded in the system.
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💾 Memory Database: MemoryScope is equipped with a vector database (default is *ElasticSearch*) to store all memory fragments recorded in the system.
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🛠️ System operations:
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^^^^^^^^^^^^^^^^^^^^^
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🔧 Worker Library: MemoryScope atomizes the capabilities of long-term memory into individual workers, including over 20 workers for tasks such as query information filtering, observation extraction, and insight updating.
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🛠️ Operation Library: Based on the worker pipeline, it constructs the operations for memory services, realizing key capabilities such as memory retrieval and memory consolidation.
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- Memory Retrieval: Upon arrival of a user query, this operation returns the semantically related memory pieces
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and/or those from the corresponding time if the query involves reference to time.
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- Memory Consolidation: This operation takes in a batch of user queries and returns important user information
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extracted from the queries as consolidated *observations* to be stored in the memory database.
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- Reflection and Re-consolidation: At regular intervals, this operation performs reflection upon newly recorded *observations*
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to form and update *insights*. Then, memory re-consolidation is performed to ensure contradictions and repetitions
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among memory pieces are properly handled.
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@ -42,9 +43,12 @@ among memory pieces are properly handled.
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:caption: MemoryScope Tutorial
|
||||
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||||
About MemoryScope <README.md>
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🚀 Installation <docs/installation.md>
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Cli Client <examples/cli/README.md>
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Simple Usages <examples/api/simple_usages_en.ipynb>
|
||||
Installation <docs/installation.md>
|
||||
Cli Client <examples/cli/CLI_README.md>
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||||
Simple Usages <examples/api/simple_usages.ipynb>
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Advanced usage <examples/advance/custom_operator.md>
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Contribution <docs/contribution.md>
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.. toctree::
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:maxdepth: 6
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|
|
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@ -10,4 +10,5 @@ sphinx_rtd_theme
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sphinxcontrib-mermaid
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myst-parser
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autodoc_pydantic
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nbsphinx
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nbsphinx
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Pandoc
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|
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@ -1,5 +1,5 @@
|
|||
<!-- language_selector.html -->
|
||||
<div class="language-selector">
|
||||
<a href="{{ pathto('../en/' + pagename) }}">English</a></li> |
|
||||
<a href="{{ pathto('../zh_CN/' + pagename) }}">中文</a></li>
|
||||
<a href="{{ pathto('../zh/' + pagename) }}">中文</a></li>
|
||||
</div>
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||||
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@ -19,7 +19,7 @@ sys.path.insert(0, os.path.abspath("../../../../../MemoryScope"))
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# -- Project information -----------------------------------------------------
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||||
|
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language = "zh_CN"
|
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language = "zh"
|
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|
||||
project = "MemoryScope"
|
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copyright = "2024, Alibaba Tongyi Lab"
|
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53
docs/sphinx_doc/zh/source/index.rst
Normal file
53
docs/sphinx_doc/zh/source/index.rst
Normal file
|
|
@ -0,0 +1,53 @@
|
|||
.. MemoryScope documentation master file, created by
|
||||
sphinx-quickstart on Fri Jan 5 17:53:54 2024.
|
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You can adapt this file completely to your liking, but it should at least
|
||||
contain the root `toctree` directive.
|
||||
|
||||
:github_url: https://github.com/modelscope/memoryscope
|
||||
|
||||
MemoryScope 文档
|
||||
=========================
|
||||
|
||||
欢迎浏览MemoryScope相关文档
|
||||
-------------------------------
|
||||
|
||||
.. image:: ./docs/images/logo.png
|
||||
:align: center
|
||||
|
||||
MemoryScope可以为LLM聊天机器人提供强大且灵活的长期记忆能力,并提供了构建长期记忆能力的框架。
|
||||
MemoryScope可以用于个人助理、情感陪伴等记忆场景,通过长期记忆能力来不断学习,记得用户的基础信息以及各种习惯和喜好,使得用户在使用LLM时逐渐感受到一种“默契”。
|
||||
|
||||
.. image:: docs/images/framework.png
|
||||
:align: center
|
||||
|
||||
核心框架
|
||||
^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
💾 记忆数据库: MemoryScope配备了向量数据库(默认是*ElasticSearch*),用于存储系统中记录的所有记忆片段。
|
||||
|
||||
🔧 核心worker库: MemoryScope将长期记忆的能力原子化,抽象成单独的worker,包括query信息过滤,observation抽取,insight更新等20+worker。
|
||||
|
||||
🛠️ 核心Op库: 并基于worker的pipeline构建了memory服务的核心operation,实现了记忆检索,记忆巩固等核心能力。
|
||||
|
||||
- 记忆检索:当用户输入对话,此操作返回语义相关的记忆片段。如果输入对话包含对时间的指涉,则同时返回相应时间中的记忆片段。
|
||||
- 记忆巩固:此操作接收一批用户的输入对话,并从对话中提取重要的用户信息,将其作为 *observation* 形式的记忆片段存储在记忆数据库中。
|
||||
- 反思与再巩固:每隔一段时间,此操作对新记录的 *observations* 进行反思,以形成和更新 *insight*
|
||||
形式的记忆片段。然后执行记忆再巩固,以确保记忆片段之间的矛盾和重复得到妥善处理。
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
:caption: MemoryScope 教程
|
||||
|
||||
关于 MemoryScope <README.md>
|
||||
安装 <docs/installation.md>
|
||||
命令行终端 <examples/cli/CLI_README_ZH.md>
|
||||
简单案例 <examples/api/simple_usages_zh.ipynb>
|
||||
高级用法 <examples/advance/custom_operator_zh.md>
|
||||
贡献 <docs/contribution.md>
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 6
|
||||
:caption: MemoryScope 接口
|
||||
|
||||
API <docs/api.rst>
|
||||
|
||||
|
|
@ -1,49 +0,0 @@
|
|||
.. MemoryScope documentation master file, created by
|
||||
sphinx-quickstart on Fri Jan 5 17:53:54 2024.
|
||||
You can adapt this file completely to your liking, but it should at least
|
||||
contain the root `toctree` directive.
|
||||
|
||||
:github_url: https://github.com/modelscope/memoryscope
|
||||
|
||||
MemoryScope 文档
|
||||
=========================
|
||||
|
||||
欢迎浏览MemoryScope相关文档
|
||||
-------------------------------
|
||||
|
||||
.. image:: ./docs/images/logo_1.png
|
||||
:align: center
|
||||
|
||||
MemoryScope 是一个为LLM聊天机器人服务的强大且灵活的长期记忆系统。它由一个记忆数据库和三个可定制的系统操作组成,这些操作可以灵活组合,
|
||||
为您的LLM聊天机器人提供强大的长期记忆服务。
|
||||
|
||||
💾 记忆数据库:
|
||||
^^^^^^^^^^^^^
|
||||
|
||||
- MemoryScope 配备了一个 *ElasticSearch (ES)* 向量数据库,用于存储系统中记录的所有记忆片段。
|
||||
|
||||
🛠️ 系统操作:
|
||||
^^^^^^^^^^^^
|
||||
|
||||
- 记忆检索:当用户输入对话,此操作返回语义相关的记忆片段。如果输入对话包含对时间的指涉,则同时返回相应时间中的记忆片段。
|
||||
-
|
||||
- 记忆巩固:此操作接收一批用户的输入对话,并从对话中提取重要的用户信息,将其作为 *observation* 形式的记忆片段存储在记忆数据库中。
|
||||
-
|
||||
- 反思与再巩固:每隔一段时间,此操作对新记录的 *observations* 进行反思,以形成和更新 *insight* 形式的记忆片段。然后执行记忆再巩固,
|
||||
以确保记忆片段之间的矛盾和重复得到妥善处理。
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
:caption: MemoryScope 教程
|
||||
|
||||
关于MemoryScope <README.md>
|
||||
🚀 安装 <docs/installation.md>
|
||||
命令行 <examples/cli/README.md>
|
||||
简例 <examples/api/simple_usages_cn.ipynb>
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 6
|
||||
:caption: MemoryScope 接口
|
||||
|
||||
API <docs/api.rst>
|
||||
|
||||
|
|
@ -24,8 +24,6 @@
|
|||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import sys\n",
|
||||
"sys.path.append(\".\")\n",
|
||||
"from memoryscope import MemoryScope, Arguments\n",
|
||||
"arguments = Arguments(\n",
|
||||
" language=\"en\",\n",
|
||||
|
|
@ -481,9 +479,9 @@
|
|||
"metadata": {},
|
||||
"source": [
|
||||
"## More Examples\n",
|
||||
"We direct the reader to [Advanced Customization](./examples/api/advanced_customization_en.ipynb) for guidance on customizing the various settings of the MemoryScope system. It is also possible to create or customize your own MemoryScope **operations** by specifying a **workflow** and the corresponding **workers** that best meet your specific needs.\n",
|
||||
"We direct the reader to [Advanced Customization](../advance/custom_operator.md) for guidance on customizing the various settings of the MemoryScope system. It is also possible to create or customize your own MemoryScope **operations** by specifying a **workflow** and the corresponding **workers** that best meet your specific needs.\n",
|
||||
"\n",
|
||||
"Additionally, you can also try out the [CLI with a MemoryScope Chatbot](../cli/README.md). We have implemented the chatbot so that the **Memory Consolidation** and **Reflection and Re-Consolidation** operations are always run asynchronously in the backend, ensuring that they do not incur any response time for the user.\n",
|
||||
"Additionally, you can also try out the [CLI with a MemoryScope Chatbot](../cli/CLI_README.md). We have implemented the chatbot so that the **Memory Consolidation** and **Reflection and Re-Consolidation** operations are always run asynchronously in the backend, ensuring that they do not incur any response time for the user.\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
|
|
@ -459,9 +459,9 @@
|
|||
"metadata": {},
|
||||
"source": [
|
||||
"## 更多用法\n",
|
||||
"我们建议读者参考[进阶自定义用法](../advance/custom_operator.md)来对MemoryScope系统进行各种自定义设置。您还可以通过自定义**workflow**和对应的**worker**来创建或定制满足您特定需求的**operation**。\n",
|
||||
"我们建议读者参考[进阶自定义用法](../advance/custom_operator_zh.md)来对MemoryScope系统进行各种自定义设置。您还可以通过自定义**workflow**和对应的**worker**来创建或定制满足您特定需求的**operation**。\n",
|
||||
"\n",
|
||||
"此外,您还可以尝试使用[在命令行与MemoryScope聊天机器人交互](../cli/README_ZH.md)。我们在这里实现了始终在后台异步运行**记忆巩固**和**反思与再巩固**这两个操作,从而使得它们不会增加聊天的响应时间。"
|
||||
"此外,您还可以尝试使用[在命令行与MemoryScope聊天机器人交互](../cli/CLI_README_ZH.md)。我们在这里实现了始终在后台异步运行**记忆巩固**和**反思与再巩固**这两个操作,从而使得它们不会增加聊天的响应时间。"
|
||||
]
|
||||
}
|
||||
],
|
||||
Loading…
Add table
Reference in a new issue