ClickHouse
In this example, we will show how to use the ClickHouse as in DB-GPT Datasource. Using a column-oriented database 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 clickhouse datasource library.
uv sync --all-packages \
--extra "base" \
--extra "datasource_clickhouse" \
--extra "rag" \
--extra "storage_chromadb" \
--extra "dbgpts"
Prepare ClickHouse
Prepare ClickHouse database service, reference-ClickHouse 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