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Version: v0.7.4

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 dbgpt start webserver --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

MSSQL Configuration​