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

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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…



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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…



Source link

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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