"With coverage of hundreds of billions of webpages and infrastructure tuned for AI-heavy workloads, the new API is aimed at developers who want real-time, reliable search results for building their own agents, applications, and retrieval-augmented pipelines. For years, large-scale search has been dominated by providers with closed indices. Perplexity takes a different approach: rather than returning full documents, its API delivers fine-grained, pre-ranked snippets. This reduces the need for additional preprocessing and enables faster integration into AI-driven workflows."
"The company stresses that accuracy and freshness are central. Its indexing system updates tens of thousands of documents per second, supported by an AI-powered content understanding module that parses messy web data in real time. This means results are not only broad in coverage but also timely-a key need for AI systems that risk hallucination or outdated answers when grounded on stale data."
Perplexity introduced a Search API that exposes the infrastructure behind its public answer engine, providing developers with real-time, reliable search results for agents, applications, and retrieval-augmented pipelines. The API indexes hundreds of billions of webpages and returns fine-grained, pre-ranked snippets instead of full documents, reducing preprocessing and accelerating integration into AI workflows. An AI-powered content understanding module parses messy web data in real time while the indexing system updates tens of thousands of documents per second to prioritize accuracy and freshness. The Search API supplies raw, ranked web results for grounding models and building custom agents, offering improved speed and timely coverage.
Read at InfoQ
Unable to calculate read time
Collection
[
|
...
]