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64b0c43885
* setup base images * add cpu flavor * use the same Dockerfile for cpu and gpu * better naming, add docs * add docker workflow * add missing image input * change cwd for bake * also push api images * try conditional tagging for releases * revert testing code * update docker readme * document variable override * use Python 3.10 * allow empty HAYSTACK_EXTRAS * Apply suggestions from code review Co-authored-by: Sara Zan <sara.zanzottera@deepset.ai> * remove repo description step, can't make it work so far * add docs to the last step as it's tricky * manage tags for the newest images * tests are passing, checking in the last bit Co-authored-by: Sara Zan <sara.zanzottera@deepset.ai>
49 lines
1.8 KiB
Markdown
49 lines
1.8 KiB
Markdown
# Haystack Docker image
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Haystack is an end-to-end framework that enables you to build powerful and production-ready
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pipelines for different search use cases. The Docker image comes with a web service
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configured to serve Haystack's `rest_api` to ease pipelines' deployments in containerized
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environments.
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Start the Docker container binding the TCP port `8000` locally:
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```sh
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docker run -p 8000:8000 deepset/haystack
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```
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If you need the container to access other services available in the host:
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```sh
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docker run -p 8000:8000 --network="host" deepset/haystack
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```
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## Image variants
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The Docker image comes in two variants:
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- `haystack:cpu-<version>`: this image is smaller but doesn't support GPU
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- `haystack:gpu-<version>`: this image comes with the Cuda runtime and is capable of running on GPUs
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## Image development
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Images are built with BuildKit and we use `bake` to orchestrate the process.
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You can build a specific image by simply run:
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```sh
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docker buildx bake gpu
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```
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You can override any `variable` defined in the `docker-bake.hcl` file and build custom
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images, for example if you want to use a branch from the Haystack repo:
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```sh
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HAYSTACK_VERSION=mybranch_or_tag BASE_IMAGE_TAG_SUFFIX=latest docker buildx bake gpu --no-cache
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```
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# License
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View [license information](https://github.com/deepset-ai/haystack/blob/main/LICENSE) for
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the software contained in this image.
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As with all Docker images, these likely also contain other software which may be under
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other licenses (such as Bash, etc from the base distribution, along with any direct or
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indirect dependencies of the primary software being contained).
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As for any pre-built image usage, it is the image user's responsibility to ensure that any
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use of this image complies with any relevant licenses for all software contained within. |