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في هذا الدرس

explain that an embedding is a list of numbers that places a text at a point where similar meanings are close.

الموضوعات المخطط لها

• An embedding model turns text into a vector: a fixed-length list of numbers (for example 768 or 1536 values; verify per model).
• Texts with similar meaning land near each other: "Where is my parcel?" is close to "Track an order".
• The vector has no readable parts; only distances between vectors carry meaning.
• Vectors from different models live in different spaces: never compare or mix them in one column.
• Embeddings capture meaning, not exact words: product codes and rare names can be missed.