unstructured/examples/weaviate/README.md

## Uploading data to Weaviate with `unstructured`

The example notebook in this directory shows how to upload documents to Weaviate using the
`unstructured` library. To get started with the notebook, use the following steps:

- Run `pip install -r requirements.txt` to install the requirements.
- Run `docker-compose up` to run the Weaviate container.
- Run `jupyter-notebook` to start the notebook.
feat: Add `stage_for_weaviate` and schema creation function (#672) * add weaviate docker compose * added staging brick and tests for weaviate * initial notebook and requirements file * add commentary to weaviate notebook * weaviate readme * update docs * version and change log * install weaviate client * install weaviate; skip for docker * linting, linting, linting * install weaviate client with deps * comments on weaviate client * fix module not found error for docker container * skipped wrong test in docker * fix typos * add in local-inference 2023-06-01 16:48:54 -04:00			## Uploading data to Weaviate with `unstructured`

			`The example notebook in this directory shows how to upload documents to Weaviate using the`
			`unstructured` library. To get started with the notebook, use the following steps:

			- Run `pip install -r requirements.txt` to install the requirements.
			- Run `docker-compose up` to run the Weaviate container.
			- Run `jupyter-notebook` to start the notebook.