- Restructure the Content field in the RAG pipeline example.
- Convert the content from a single multi-line string to a list of items.
- Explicitly define question/answer pairs and system instruction injections.
- Improve the clarity and readability of the YAML example for RAG content.
- The example malicious document in the RAG pipelines chapter was updated.
- Changed the code block from markdown to YAML syntax.
- This provides a more structured representation of the document content.
- Improves clarity and consistency of the example's presentation.
- Converted the "Example Attack" section for metadata leakage from a text block to a Markdown table.
- This change enhances readability and provides a clearer, more structured presentation of the information.
- Delineates leakage types and the specific information revealed during a metadata attack.
- Converted RAG query examples from plain text to a Markdown table.
- Updated the example Trojan Document to use a YAML code block.
- Enhanced the readability and structure of code examples within the RAG chapter.
- Convert attack flow and scenario steps into structured Markdown tables.
- Enhance readability for complex sequences like chunk reconstruction and provenance attacks.
- Update the restricted user query example to use YAML block for better representation of multi-line responses.
- Improve overall presentation and clarity of examples within the RAG Pipelines chapter.
- Converted a plain text example block to YAML format.
- Enhances clarity and structure for the RAG pipeline attack scenario.
- Improves consistency in documentation examples.
- Reformat test cases for Retrieval Augmented Generation (RAG) pipeline vulnerabilities.
- Present test scenarios, inputs, expected behaviors, and vulnerability indicators in a clear Markdown table.
- Enhance readability and consistency of the documentation for security test cases.
- Converted the "Attacker Query Sequence" example from plain text to a Markdown table.
- Improves readability and structure of the example content.
- Enhances presentation for better understanding of the query steps and outcomes.
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