Chat2Graph

git clone https://github.com/TuGraph-family/chat2graph.git

conda create -n chat2graph_env python=3.10
conda activate chat2graph_env

cd chat2graph
./bin/build.sh

cp .env.template .env && vim .env

LLM_NAME=deepseek-ai/DeepSeek-V3
LLM_ENDPOINT=https://api.siliconflow.cn/v1
LLM_APIKEY={your-siliconflow-api-key}
EMBEDDING_MODEL_NAME=BAAI/bge-large-zh-v1.5
EMBEDDING_MODEL_ENDPOINT=https://api.siliconflow.cn/v1/embeddings
EMBEDDING_MODEL_APIKEY={your-siliconflow-api-key}

./bin/start.sh

Starting server...
Web resources location: /Users/florian/code/chat2graph/app/server/web
System database url: sqlite:////Users/florian/.chat2graph/system/chat2graph.db
Loading AgenticService from app/core/sdk/chat2graph.yml with encoding utf-8
Init application: Chat2Graph
Init the Leader agent
Init the Expert agents
  ____ _           _   ____   ____                 _     
 / ___| |__   __ _| |_|___ \ / ___|_ __ __ _ _ __ | |__  
| |   | '_ \ / _` | __| __) | |  _| '__/ _` | '_ \| '_ \ 
| |___| | | | (_| | |_ / __/| |_| | | | (_| | |_) | | | |
 \____|_| |_|\__,_|\__|_____|\____|_|  \__,_| .__/|_| |_|
                                            |_|          

 * Serving Flask app 'bootstrap'
 * Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on all addresses (0.0.0.0)
 * Running on http://127.0.0.1:5010
 * Running on http://192.168.1.1:5010
Chat2Graph server started success !

docker pull neo4j:latest
docker run -d -p 7474:7474 -p 7687:7687 --name neo4j-server --env NEO4J_AUTH=none \
  --env NEO4J_PLUGINS='["apoc", "graph-data-science"]' neo4j:latest

docker pull tugraph/tugraph-runtime-centos7:4.5.1
docker run -d -p 7070:7070 -p 7687:7687 -p 9090:9090 --name tugraph-server \
  tugraph/tugraph-runtime-centos7:latest lgraph_server -d run --enable_plugin true

SystemEnv.LLM_NAME="deepseek-ai/DeepSeek-V3"
SystemEnv.LLM_ENDPOINT="https://api.siliconflow.cn/v1"
SystemEnv.LLM_APIKEY="{your-siliconflow-api-key}"
SystemEnv.EMBEDDING_MODEL_NAME="BAAI/bge-large-zh-v1.5"
SystemEnv.EMBEDDING_MODEL_ENDPOINT="https://api.siliconflow.cn/v1/embeddings"
SystemEnv.EMBEDDING_MODEL_APIKEY="{your-siliconflow-api-key}"

chat2graph = AgenticService.load("app/core/sdk/chat2graph.yml")

answer = chat2graph.execute("What is TuGraph ?").get_payload()

job = chat2graph.session().submit("What is TuGraph ?")
answer = job.wait().get_payload()