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Accurate intent recognition, rigorous search results Kaisou AI uses our in-house large model to accurately identify and categorize user query intent, extract key information for full-web search and structured queries, ensuring precise matching, filtered high-quality results, and reliable, rigorous outputs.

Integrated full-web sources, reliable filtering Kaisou AI pulls real-time, authoritative, massive web information sources, cleans and structures data, then uses our proprietary algorithms for categorized recall, filtering, and re-ranking to guarantee the timeliness, diversity, and accuracy of reference sources for answers.

Traceable citations, no false info or AI hallucinations Every claim in Kaisou AI's answers comes with precise reference sources, making all information traceable. We also run reliability checks on all outputs to eliminate false information, ads, and nonsensical AI hallucinations.

Proprietary Q&A large model + RAG technology We use our custom-built AI large language model for search Q&A paired with RAG (Retrieval-Augmented Generation) technology. It also supports switching between large models and response modes for specific use cases. When generating summarized answers, we enable an ultra-long context window to maintain coherence and accuracy between initial questions and follow-ups.

Multi-model switching, multi-response mode switching Kaisou AI tailors responses based on user profiles and query intent categories, deploying different large models, high-quality information sources, and custom prompts at each step of the response process to ensure every unique user need gets a highly matched answer.