Weaviate
Batch process all your records to store structured outputs in a Weaviate database.
You will need:
The Weaviate prerequisites:
-
A Weaviate database instance. The following information assumes that you have a Weaviate Cloud (WCD) account with a Weaviate database cluster in that account. Create a WCD account. Create a database cluster. For other database options, learn more.
-
The URL and API key for the database cluster. Get the URL and API key.
-
A collection in the database cluster. Note the name of the collection, also known as the collection’s class name. Create a collection.
The schema of the collection that you use must match the data that Unstructured writes to it. Otherwise, you might get unexpected results or errors. Unstructured cannot provide a schema that is guaranteed to work for everyone in all circumstances. This is because these schemas will vary based on your source files’ types; how you want Unstructured to partition, chunk, and generate embeddings; any custom post-processing code that you run; and other factors.
You can adapt the following collection schema example for your own needs:
See also :
The Weaviate connector dependencies:
You might also need to install additional dependencies, depending on your needs. Learn more.
The following environment variables:
-
WEAVIATE_URL
- THE REST endpoint for the Weaviate database cluster, represented by--host-url
(CLI) orhost_url
(Python). -
WEAVIATE_API_KEY
- The API key for the database cluster, represented by--api-key
(CLI) orapi_key
(Python).For the CLI, the--api-key
option here is part of theweaviate
command. For Python, theapi_key
parameter here is part of theWeaviateAccessConfig
object. -
WEAVIATE_COLLECTION_CLASS_NAME
- The name of the collection in the database, represented by--class-name
(CLI) orclass_name
(Python).
Now call the Unstructured Ingest CLI or the Unstructured Ingest Python library. The source connector can be any of the ones supported. This example uses the local source connector:
This example sends files to Unstructured API services for processing by default. To process files locally instead, see the instructions at the end of this page.
For the Unstructured Ingest CLI and the Unstructured Ingest Python library, you can use the --partition-by-api
option (CLI) or partition_by_api
(Python) parameter to specify where files are processed:
-
To do local file processing, omit
--partition-by-api
(CLI) orpartition_by_api
(Python), or explicitly specifypartition_by_api=False
(Python).Local file processing does not use an Unstructured API key or API URL, so you can also omit the following, if they appear:
--api-key $UNSTRUCTURED_API_KEY
(CLI) orapi_key=os.getenv("UNSTRUCTURED_API_KEY")
(Python)--partition-endpoint $UNSTRUCTURED_API_URL
(CLI) orpartition_endpoint=os.getenv("UNSTRUCTURED_API_URL")
(Python)- The environment variables
UNSTRUCTURED_API_KEY
andUNSTRUCTURED_API_URL
-
To send files to Unstructured API services for processing, specify
--partition-by-api
(CLI) orpartition_by_api=True
(Python).Unstructured API services also requires an Unstructured API key and API URL, by adding the following:
--api-key $UNSTRUCTURED_API_KEY
(CLI) orapi_key=os.getenv("UNSTRUCTURED_API_KEY")
(Python)--partition-endpoint $UNSTRUCTURED_API_URL
(CLI) orpartition_endpoint=os.getenv("UNSTRUCTURED_API_URL")
(Python)- The environment variables
UNSTRUCTURED_API_KEY
andUNSTRUCTURED_API_URL
, representing your API key and API URL, respectively.
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