
Beyond Keywords: The Meaning Gap
Why Traditional Text Analysis Falls Short
The Challenge of Semantic Understanding
Traditional text processing methods rely on keywords, missing the true meaning and context behind language:
- Keyword matching fails to capture synonyms and related concepts
- Boolean search can't understand intent or nuance
- Databases struggle with finding conceptually similar items
- Cross-language comparisons become nearly impossible
These limitations create significant business challenges in content management, customer service, and knowledge discovery. Embeddings Ollama solves this fundamental problem by converting text into numerical vectors that preserve semantic relationships, allowing computers to understand meaning beyond just words.