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Alexandr Yarats, Head of Search at Perplexity – Interview Series
- Alexandr Yarats, Head of Search at Perplexity AI, discusses his interest in machine learning and his career path trajectory
- Perplexity AI is an AI-chatbot-powered research and conversational search engine used to generate answers from web sources
- Yarats previously worked at Google Assistant on the Google Bard team as a Senior Software Engineer, before joining Perplexity AI
- As the Head of Search at Perplexity, Yarats is responsible for building the internal retrieval system for the search engine
- Perplexity shifted from developing a text-to-SQL tool to creating an AI-powered search engine, building on the concept of retrieval-augmented generation (RAG)
- Perplexity utilises RAG by having tens of LLMs (ranging from big to small) work together in parallel to handle one user request, improving accuracy
- Perplexity focuses on frequently-searched topics when crawling and indexing web pages, using LLMs to maximise signal-to-noise ratio
- The search engine ranks objectives designed to natively combine the retrieval system and LLMs, instead of optimising for click probability or ad impression
- Perplexity's main technological and market challenges are improving the helpfulness and accuracy of answers, scope and complexity of questions it can answer, and driving costs down
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