mindsdb/mindsdb:latest
(or mindsdb/mindsdb
)
It is the lightweight Docker image of MindsDB that comes with these integrations preloaded.
mindsdb/mindsdb:lightwood
It is the Docker image of MindsDB that comes with these integrations and the Lightwood integration preloaded.
mindsdb/mindsdb:huggingface
It is the Docker image of MindsDB that comes with these integrations and the Hugging Face integration preloaded.
http://host.docker.internal
instead of localhost
when connecting this integration to MindsDB.docker run
is a native Docker command used to spin up a container.--name mindsdb_container
defines a name for the container.-e MINDSDB_A2A_HOST=<if-using-remote-host>
defines the host where MindsDB is running. Note that this is required for the A2A API only when running MindsDB on a remote host.-e MINDSDB_APIS=http,mysql,mcp,a2a
defines the APIs to be exposed by the MindsDB instance. All available APIs include http
, mysql
, mongodb
, postgres
, mcp
, and a2a
.-p 47334:47334 -p 47335:47335 -p 47337:47337 -p 47338:47338
defines the ports where the APIs are exposed.mindsdb/mindsdb
is a Docker image provided by MindsDB. You can choose a different one from the list above.docker stop mindsdb_container
to stop the container. Note that this may not always be necessary because when turning off the host machine, the container will also be shut down.docker start mindsdb_container
to restart a stopped container with all its previous changes (such as any dependencies that were installed) intact. Note that docker start
restarts a stopped container, while docker run
creates a new container.-d
flag that stands for detach.-v $(pwd)/mdb_data:/root/mdb_storage
maps the newly created folder mdb_data
on the host machine to the /root/mdb_storage
inside the container.127.0.0.1:47334
in your browser.
MKL_SERVICE_FORCE_INTEL
environment variable, as below.MINDSDB_USERNAME
and MINDSDB_PASSWORD
environment variables when running the container.docker run
, you can find it by running docker ps
./root/mindsdb_config.json
, as below.
CREATE MODEL
statement.Check out the Use Cases section to follow tutorials that cover Large Language Models, Chatbots, Time Series, Classification, and Regression models, Semantic Search, and more.