Use a Local file as a data source

You can add a local file (document) as a data source. A document contains information that you want the model to use when generating a response. By using a document as a data source for a knowledge base, your app users can chat with a document. For example, they can use a document to answers questions, make an analysis, create a summary, itemize fields in a numbered list, or rewrite content.

You can use a document as a data source in a chat agent app and a flow app.

The document file must be in PDF, MD, TXT, DOC, DOCX, HTML, CSV, XLS or XLSX format. The maximum file size is 50MB. You can upload up to 50 documents to a knowledge base.

To create a Knowledge Base with a local file

1. Navigate to the Amazon SageMaker Unified Studio landing page by using the URL from your administrator.

2. Access Amazon SageMaker Unified Studio using your IAM or single sign-on (SSO) credentials. For more information, see Access Amazon SageMaker Unified Studio.

3. Choose the Build menu at the top of the page.

4. In the MACHINE LEARNING & GENERATIVE AI section, choose My apps.

5. In the Select or create a new project to continue dialog box, select the project that you want to use.

6. In the left pane, choose Asset gallery.

7. Choose My components.

8. In the Components section, choose Create component and then Knowledge Base. The Create Knowledge Base pane is shown.

9. For Name, enter a name for the Knowledge Base.

10. For Description, enter a description for the Knowledge Base.

11. In Select data source type, Select Local file:

12. Choose Click to upload and upload the document that you want the Knowledge Base to use. Alternatively, add your source documents by dragging and dropping the document from your computer.

13. For parsing Choose either default parsing or choose parsing with foundation model.

14. If you choose parsing with foundation model, do the following:

    1. For Choose a foundation model for parsing select your preferred foundation model. You can only choose models that your administrator has enabled for parsing. If you don't see a suitable model, contact your administrator.

    2. (Optional) Overwrite the Instructions for the parser to suit your specific needs.

    For more information, see Chunking and parsing with knowledge bases.

15. (Optional) For Chunking strategy Choose a chunking strategy for your knowledge base. For more information, see Chunking and parsing with knowledge bases.

16. (Optional) For Embeddings model, choose a model for converting your data into vector embeddings, or use the default model.

17. Choose Create to create the Knowledge Base.

18. Use the Knowledge Base in an app, by doing one of the following:

    • If your app is a chat agent app, do Add an Amazon Bedrock Knowledge Base component to a chat agent app.

    • If your app is a flow app, do Add a Knowledge Base component to a flow app.