answers-questions

To generate a Q&A report for fine-tuning, provide a list of questions, the exact documentation directory, and an output file title. The agent analyzes your sources and saves a structured Markdown report.

Extracting answers from a documentation directory requires three mandatory inputs: the list of questions, the exact documentation directory path, and the target output file title. Execution halts if any are missing.

You can incorporate reviewer feedback into the Markdown reports through an optional revision workflow. This process updates the extracted answers to produce improved outputs for downstream fine-tuning.

Extracted documentation answers are saved as a Markdown report under the agentAI/fine-tuning/<user_provided_title>/respostas directory, ensuring outputs are organized for in-context learning.

The agent does not infer missing details or answers outside the provided sources. It answers questions strictly from the contained documentation to ensure accuracy for knowledge-base generation.

Automating question answering for a knowledge base is best achieved by enforcing explicit input requirements. This approach analyzes specific documentation directories to compile structured Markdown training-ready reports.