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Systems that aggregate and summarize information using language models.
Distinguishing note: Focuses on the synthesis of cited summaries from multiple sources.
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Perplexica is an AI-powered search engine that synthesizes real-time web results into coherent, cited summaries. By utilizing large language models and retrieval augmentation, the platform gathers information from the live internet to provide accurate answers to complex user queries, ensuring that all generated content includes verifiable source citations. The project functions as a search orchestration platform that aggregates data from multiple sources and exposes these capabilities through standard endpoints. This allows for automated data integration, enabling external software to retriev
Answers complex user queries by combining information from multiple search results into coherent, generated summaries with clear citations.