Ideas in this flowchart

• Embedding connects information with semantic meaning.
• An embedding represents semantic meaning.
• The source is a piece of information.
• The information is converted into an embedding.
• The embedding is represented as a numerical vector.
• The vector provides a numerical representation of meaning.
• Software receives vectors for comparison.
• Software compares the vectors.
• The comparison estimates semantic closeness.
• Closer vectors indicate closer meaning.
• Different words can describe similar ideas.
• Different wording does not prevent semantic comparison.
• The vector comparison identifies similar meanings.
• Related knowledge can be discovered.
• The system produces connections between related information.