What is AI Search? The Evolution from Keywords to Vector Search & RAG
Description
Watch: full video.A clear explainer of how search is shifting from keyword matching to AI search that understands meaning, retrieves semantically related information, and can generate answers using techniques such as vector search and RAG. The critical nuance is that AI search is powerful but not magic: it still depends on whether content can be crawled, parsed, and retrieved. If important information is hidden inside JavaScript-heavy or poorly structured pages, humans may be able to see it while AI systems may miss it.
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IBM Technology
IBM Technology
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Open original sourceKey Takeaways
- AI search moves beyond matching exact keywords by using meaning, intent, vector search, and retrieval to find related information.
- RAG matters because it lets AI retrieve external material and generate direct answers instead of only returning a list of links.
- The practical limitation is access: AI systems may miss content that humans can view if that content is hard to crawl, hidden behind JavaScript, or not available as clean retrievable text.