The Limitation of Keywords

Traditional text processing relies on simple pattern matching and keywords, failing to capture the nuanced meaning that humans naturally understand:

• Customer service chatbots misinterpret questions
• Document search returns irrelevant results
• Content analysis misses contextual subtleties
• Data classification requires manual intervention

Google PaLM Embeddings solves this by converting text into rich vector representations that capture semantic meaning, enabling your applications to truly understand content the way humans do. This transforms how your business interfaces with unstructured text data, making your AI applications more intelligent and intuitive.