The Replace Words in Prompt node allows you to define multiple find-and-replace rules to modify your prompts. Each replacement can use either plain text or regex patterns, with support for case-sensitive matching.

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Functionality

The Replace Words in Prompt node acts as a text transformer, finding and replacing specified patterns in your prompts. This can be useful for:

  • Variable Substitution: Replace placeholders with actual values
  • Content Standardization: Ensure consistent terminology across prompts
  • Text Sanitization: Remove or replace unwanted content patterns
  • Dynamic Content: Modify prompts based on workflow context
  • Prompt Templating: Maintain templates with replaceable sections

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Node Properties

For each replacement rule you add, you can configure:

  • Find:
    • Text to Find: The pattern or text to search for in the prompt
    • Use Regex: Toggle to enable regular expression pattern matching
    • Case Sensitive: Toggle to make the pattern matching case sensitive
  • Replace:
    • Replacement Text: The text to insert in place of matched content

You can add multiple replacement rules using the “Add a Replacement” button. Rules are applied sequentially in the order they are defined.

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Usage Examples

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Scenario: Acronym Expansion

Let’s say you want to expand industry-specific acronyms to make prompts more clear:

  1. Add a Replace Words in Prompt node before your LLM node
  2. Add multiple replacements:
    • Find: “ML”, Replace: “Machine Learning”
    • Find: “NLP”, Replace: “Natural Language Processing”
    • Find: “CV”, Replace: “Computer Vision”
  3. Enable “Case sensitive” for each to avoid replacing lowercase instances
  4. This will convert technical text like “ML and NLP techniques in CV” to “Machine Learning and Natural Language Processing techniques in Computer Vision”

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Scenario: Content Redaction

Let’s say you want to redact sensitive information from prompts:

  1. Add a Replace Words in Prompt node before your LLM node
  2. Enable “Use regex”
  3. Configure a replacement:
    • Find: \b\d{4}[-\s]?\d{4}[-\s]?\d{4}[-\s]?\d{4}\b
    • Replace: “[REDACTED CREDIT CARD]”
  4. This will replace credit card numbers like “4111-1111-1111-1111” or “4111 1111 1111 1111” with “[REDACTED CREDIT CARD]“

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Tips and Best Practices

  • Order your replacements carefully as they are applied sequentially
  • Use regex for complex pattern matching needs
  • Test replacements with various prompt inputs to ensure desired outcomes
  • Consider case sensitivity requirements for your use case
  • Verify that replacements don’t introduce unintended side effects
  • Keep replacement rules simple and focused for better maintenance