MSSQL
In this example, we will show how to use the MSSQL as in DB-GPT Datasource. Using MSSQL to implement Datasource can, to some extent, alleviate the uncertainty and interpretability issues brought about by vector database retrieval.
Install Dependencies
First, you need to install the dbgpt mssql datasource library.
uv sync --all-packages \
--extra "base" \
--extra "datasource_mssql" \
--extra "rag" \
--extra "storage_chromadb" \
--extra "dbgpts"
Prepare MSSQL
Prepare MSSQL database service, reference-MSSQL Installation.
Then run the following command to start the webserver:
uv run python packages/dbgpt-app/src/dbgpt_app/dbgpt_server.py --config configs/dbgpt-proxy-openai.toml
Optionally, you can also use the following command to start the webserver:
uv run python packages/dbgpt-app/src/dbgpt_app/dbgpt_server.py --config configs/dbgpt-proxy-openai.toml