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    ComparisonYAMLRAG

    YAML vs Plain Text: Choosing the Right Format for LLM Prompts

    YAML vs plain text for prompt data and scraping workflows: when structured manifests help and when raw text is the safer choice.

    Written byAndrew
    Published onFeb 1, 2026

    Table of Contents

    • Quick comparison
    • What YAML is good at
    • What plain text is good at
    • Use cases in web crawling, scraping, and RAG
    • When YAML should be used
    • When plain text should be used
    • Practical tradeoffs
    • YAML is not ideal for large generated datasets
    • Plain text makes structured QA difficult
    • Node.js snippet: Combine YAML-like config with plain text content
    • Conclusion

    Table of Contents

    • Quick comparison
    • What YAML is good at
    • What plain text is good at
    • Use cases in web crawling, scraping, and RAG
    • When YAML should be used
    • When plain text should be used
    • Practical tradeoffs
    • YAML is not ideal for large generated datasets
    • Plain text makes structured QA difficult
    • Node.js snippet: Combine YAML-like config with plain text content
    • Conclusion

    YAML and plain text are often used at different stages. YAML is usually used for structured manifests and small records. Plain text is usually used for page content and embeddings.

    A broader overview is available in Best Prompt Data.

    Quick comparison

    TopicYAMLPlain Text
    Best forConfig-like data and manifestsRaw content and simple outputs
    Parsing reliabilityMedium (indentation matters)Low (no structure)
    Human readabilityHighHigh
    RAG fitGood for metadataGood for content
    Common failureIndentation and implicit typesMissing boundaries and ambiguity

    What YAML is good at

    YAML is usually selected when:

    • A job manifest is being created (rules, filters, selectors)
    • Humans will tweak values
    • Nested config is needed and comments matter

    If strict parsing is required, JSON can be preferred, as covered in JSON vs YAML.

    What plain text is good at

    Plain text is usually selected when:

    • The focus is on content, not fields
    • Embeddings will be created for RAG
    • Formatting should be minimized

    If structure is helpful for chunking, Markdown can be compared in Markdown vs Plain Text.

    Use cases in web crawling, scraping, and RAG

    When YAML should be used

    YAML is usually preferred when:

    • Extraction rules are being passed between humans
    • A small record is being stored, and a schema is not enforced
    • Comments are needed to explain choices

    When plain text should be used

    Plain text is usually preferred when:

    • The goal is search and retrieval over page content
    • Chunking will be done later
    • The output must be resilient to minor formatting issues

    If the output is coming from HTML, the "raw vs cleaned" decision is covered in HTML vs Cleaned Text.

    Practical tradeoffs

    YAML is not ideal for large generated datasets

    If thousands of YAML records are emitted by a model, indentation mistakes and typing surprises become frequent. JSON or CSV is usually safer at that scale.

    Plain text makes structured QA difficult

    If a "price" field is required, plain text alone can make validation hard. JSON can be compared in JSON vs Plain Text.

    Node.js snippet: Combine YAML-like config with plain text content

    A common pattern is: a config is kept in YAML and content is kept as plain text, then both are wrapped into a JSON record for ingestion.

    // Node 18+
    // Wrap plain text content with a config object.
    
    const config = {
      extract: ["title", "author", "date"],
      language: "en",
    };
    
    const content = "Long page text goes here...";
    
    const record = { config, content };
    console.log(JSON.stringify(record, null, 2));
    

    Conclusion

    • YAML is usually selected for human-edited manifests and config-like data.
    • Plain text is usually selected for content-first outputs and embeddings.
    • In crawling and RAG pipelines, YAML often describes what should be extracted, while plain text carries the actual page content.

    If a tabular export is needed, YAML vs CSV can be compared too.