Uploaded February 2026 | Updated September 2026, 2 weeks ago

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Before diving into vector search, it’s crucial to understand how traditional search systems work — and where they struggle.

In this part, we explore the foundations of keyword-based search and why it often fails to capture meaning or intent.

In this section, we cover:

- How traditional keyword search matches queries to documents
- The role of tokenization and document indexing
- Why keyword search struggles with synonyms, typos, and conversational language
- The real-world impact of bad search systems on user experience
- Why modern applications need to go beyond exact matches
- Search powers everything we do online — but the way we search is evolving.
- Understanding the limitations of keyword search sets the stage for what comes next: semantic and vector-based retrieval.

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