Search Isn’t Dead: From RAG to Agents With Vector Databases

In the not-so-distant past, search was relatively simple: A search engine would find and rank content that matched the keywords or phrases of a query. But this traditional model of lexical search has been shattered by the emergence of large language models (LLMs).

Today, semantic, generative AI (GenAI) and agent-based approaches are reshaping industry practices by allowing people to ask complex questions using natural language. However, these approaches still struggle with issues like the accuracy of results and hallucinations, citation…