Run Attribute Extraction
Identify and retrieve specific pieces of information from unstructured data and transform them into a structured format.
Identify and retrieve specific pieces of information from unstructured data and transform them into a structured format. This is useful for extracting information from documents such as invoices, receipts, and contracts. Begin by creating a Datasource and specifying the attributes to extract. Then upload a Data Entity (pdf, docx, or csv) and stand by for the extracted results.
1. Add a Datasource
Log into your Metal Account to get started.
Navigate to the Datasource page and add a Datasource specifying the attributes to extract. Use the description box to guide the LLM.
2. Add a Data Entity
Next create a Data Entity by uploading a file (pdf, docx, or csv) and stand by for the extracted results. Note you can add multiple Data Entities to the same Datasource.
3. View the Results
Once the Data Entity has been processed, you can view the extracted results.
Run Attribute Extraction
Identify and retrieve specific pieces of information from unstructured data and transform them into a structured format.
Identify and retrieve specific pieces of information from unstructured data and transform them into a structured format. This is useful for extracting information from documents such as invoices, receipts, and contracts. Begin by creating a Datasource and specifying the attributes to extract. Then upload a Data Entity (pdf, docx, or csv) and stand by for the extracted results.
1. Add a Datasource
Log into your Metal Account to get started.
Navigate to the Datasource page and add a Datasource specifying the attributes to extract. Use the description box to guide the LLM.
2. Add a Data Entity
Next create a Data Entity by uploading a file (pdf, docx, or csv) and stand by for the extracted results. Note you can add multiple Data Entities to the same Datasource.
3. View the Results
Once the Data Entity has been processed, you can view the extracted results.