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Updated 6 months ago

Does anyone know how to build a search

At a glance

The community members are discussing how to build a search engine like Perplexity. One community member suggests that Perplexity likely uses Bing Search under the hood, and that it could be built using a tool like LlamaHub. Another community member wonders how Perplexity synthesizes answers so well, and mentions that it may involve more than just Retrieval Augmented Generation (RAG). A third community member references a video that discusses Perplexity's use of multiple LLM calls to provide a rich response. However, there is no explicitly marked answer in the comments.

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Does anyone know how to build a search engine like Perplexity? open to ideas
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4 comments
I'm pretty sure Perplexity just uses Bing Search under the hood. They probably do some other processing but it's mostly just a search API connected to a LLM.

Could probably build it with this: https://llamahub.ai/l/tools/llama-index-tools-bing-search?from=
But how do they synthesize answers so well? It can't just be RAG, there must be something else
I was watching this yesterday: https://youtu.be/yGejxO1xYmo?si=22UtE4T0RVXbqYOy

he mentions that there are different operations for different items, like there are multiple llm calls just to provide the final rich response.
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