docker pull tugraph/tugraph-runtime-centos7:latest
mkdir -p /tmp/tugraph/data && mkdir -p /tmp/tugraph/log && \docker run -it -d -p 7001:7001 -p 7070:7070 -p 7687:7687 -p 8000:8000 -p 8888:8888 -p 8889:8889 -p 9090:9090 \ -v /tmp/tugraph/data:/var/lib/lgraph/data  -v /tmp/tugraph/log:/var/log/lgraph_log \ --name tugraph_demo tugraph/tugraph-runtime-centos7:latest /bin/bash && \docker exec -d tugraph_demo bash /setup.sh
pip install "neo4j>=5.20.0"

GRAPH_STORE_TYPE=TuGraphTUGRAPH_HOST=127.0.0.1TUGRAPH_PORT=7687TUGRAPH_USERNAME=adminTUGRAPH_PASSWORD=xxx

ollama pull qwen:0.5b

ollama pull nomic-embed-text

pip install ollama

LLM_MODEL=ollama_proxyllmPROXY_SERVER_URL=http://127.0.0.1:11434PROXYLLM_BACKEND="qwen:0.5b"PROXY_API_KEY=not_usedEMBEDDING_MODEL=proxy_ollamaproxy_ollama_proxy_server_url=http://127.0.0.1:11434proxy_ollama_proxy_backend="nomic-embed-text:latest"

python dbgpt/app/dbgpt_server.py

## Rerank modelRERANK_MODEL=bge-reranker-base## If you not set RERANK_MODEL_PATH, DB-GPT will read the model path from EMBEDDING_MODEL_CONFIG based on the RERANK_MODEL.# RERANK_MODEL_PATH=## The number of rerank results to returnRERANK_TOP_K=3

dbgpt start controller --port 8000
dbgpt start worker --worker_type text2vec \--rerank \--model_path /app/models/bge-reranker-base \--model_name bge-reranker-base \--port 8004 \--controller_addr http://127.0.0.1:8000

LLM_MODEL=deepseek_proxyllmDEEPSEEK_MODEL_VERSION=deepseek-chatDEEPSEEK_API_BASE=https://api.deepseek.com/v1DEEPSEEK_API_KEY={your-deepseek-api-key}

import asynciofrom dbgpt.core import ModelRequestfrom dbgpt.model.proxy import DeepseekLLMClient# You should set DEEPSEEK_API_KEY to your environment variablesclient = DeepseekLLMClient()print(asyncio.run(client.generate(ModelRequest._build("deepseek-chat", "你是谁？"))))

DEEPSEEK_API_KEY={your-deepseek-api-key} python test_proxyllm.py

# [Yi-1.5-34B-Chat](https://huggingface.co/01-ai/Yi-1.5-34B-Chat)LLM_MODEL=yi-1.5-6b-chat# [Yi-1.5-9B-Chat](https://huggingface.co/01-ai/Yi-1.5-9B-Chat)LLM_MODEL=yi-1.5-9b-chat# [Yi-1.5-6B-Chat](https://huggingface.co/01-ai/Yi-1.5-6B-Chat)LLM_MODEL=yi-1.5-34b-chat