MLE-23398 Added docs for vector functions #115
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Hat tip to Copilot.
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Pull Request Overview
This PR adds documentation for vector embedding functionality in the MarkLogic Python client, specifically covering how to use base64 encoding utilities for vector data when writing documents.
- Added a new section explaining vector embeddings support in MarkLogic 12 and the Python client
- Provided code example demonstrating the use of
base64_encodefunction from themarklogic.vectorsmodule - Documented the performance benefits of encoding vectors as base64 strings before database storage
| "embedding": encoded_vector # Store as encoded string | ||
| } | ||
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| doc = Document("/documents/sample-doc.json", document_content, permissions=default_perms) |
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The variable default_perms is used in the example but is not defined or explained. Consider either defining this variable in the example or adding a comment explaining where it comes from, such as referencing earlier documentation sections.
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BillFarber
approved these changes
Aug 6, 2025
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The vector tests are failing because Jenkinsfile is using MarkLogic 11, I'll fix in a separate PR. |
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Hat tip to Copilot.