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126 lines
4.3 KiB
Markdown
126 lines
4.3 KiB
Markdown
# Installing MemoryScope
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## I. Install with docker [Recommended] [x86_64]
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1. Clone the repository and edit settings
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```bash
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# clone project
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git clone https://github.com/modelscope/memoryscope
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cd memoryscope
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# edit configuration, e.g. add api keys
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vim memoryscope/core/config/demo_config.yaml
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```
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2. Build Docker image
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```bash
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sudo docker build --network=host -t memoryscope .
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```
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If you are using arm-based computers, modify command above into: `sudo docker build -f DockerfileArm --network=host -t memoryscope .`
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3. Launch Docker container
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```bash
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sudo docker run -it --rm --net=host memoryscope
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```
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> [!Important]
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> To inspect memory shift during the conversation, modify command in step 3 to `sudo docker run -it --name=memoryscope_container --rm --net=host memoryscope`;<br/>
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> Then start a new terminal window and execute `sudo docker exec -it memoryscope_container python quick-start-demo.py --config_path=memoryscope/core/config/demo_config_zh.yaml`;<br/>
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> In the second window, input `/list_memory refresh_time=5` to inspect memory
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## II. Install with docker compose [Recommended] [x86_64]
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1. Clone the repository and edit settings
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```bash
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# clone project
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git clone https://github.com/modelscope/memoryscope
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cd memoryscope
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# edit configuration, e.g. add api keys
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vim memoryscope/core/config/demo_config.yaml
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```
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2. Edit `docker-compose.yml` to change environment variable.
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```
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OPENAI_API_KEY: "sk-0000000000"
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```
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3. Run `docker-compose run memory_scope_main` to build and launch the memory-scope cli interface. (For ARM architecture, you should edit `docker-compose.yml`, changing `image: ghcr.io/modelscope/memoryscope:main` to `image: ghcr.io/modelscope/memoryscope_arm:main`)
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## III. Install from PyPI
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1. Install from PyPI
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```bash
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pip install memoryscope
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```
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2. Run Elasticsearch service, refer to [elasticsearch documents](https://www.elastic.co/guide/en/elasticsearch/reference/current/getting-started.html).
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The docker method is recommended:
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```
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sudo docker run -p 9200:9200 \
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-e "discovery.type=single-node" \
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-e "xpack.security.enabled=false" \
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-e "xpack.license.self_generated.type=trial" \
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docker.elastic.co/elasticsearch/elasticsearch:8.13.2
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```
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3. Test Chinese / Dashscope Configuration
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```bash
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export DASHSCOPE_API_KEY="sk-0000000000"
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memoryscope --language="cn" \
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--memory_chat_class="cli_memory_chat" \
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--human_name="用户" \
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--assistant_name="AI" \
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--generation_backend="dashscope_generation" \
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--generation_model="qwen-max" \
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--embedding_backend="dashscope_embedding" \
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--embedding_model="text-embedding-v2" \
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--enable_ranker=True \
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--rank_backend="dashscope_rank" \
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--rank_model="gte-rerank"
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```
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4. Test English / OpenAI Configuration
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```bash
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export OPENAI_API_KEY="sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
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memoryscope --language="en" \
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--memory_chat_class="cli_memory_chat" \
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--human_name="User" \
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--assistant_name="AI" \
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--generation_backend="openai_generation" \
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--generation_model="gpt-4o" \
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--embedding_backend="openai_embedding" \
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--embedding_model="text-embedding-3-small" \
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--enable_ranker=False
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```
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## IV. Install from source
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1. Clone the repository and edit settings
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```bash
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# clone project
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git clone https://github.com/modelscope/memoryscope
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cd memoryscope
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# edit configuration, e.g. add api keys
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vim memoryscope/core/config/demo_config.yaml
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```
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2. Install
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```bash
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pip install -e .
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```
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3. Run Elasticsearch service, refer to [elasticsearch documents](https://www.elastic.co/guide/en/elasticsearch/reference/current/getting-started.html).
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The docker method is recommended:
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```
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sudo docker run -p 9200:9200 \
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-e "discovery.type=single-node" \
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-e "xpack.security.enabled=false" \
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-e "xpack.license.self_generated.type=trial" \
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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/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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```
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