Unverified60% confidenceFactExact time
Combining large language model reasoning capabilities with real-time web search is referred to as Retrieval-Augmented Generation (RAG) or tool calling (Tool Use/Function Calling).
2
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60%
Confidence
Long-term
Relevance
7/15/2026
First Seen
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Related Claims
UnverifiedRetrieval-Augmented Generation (RAG) is one of the mainstream technical approaches for mitigating hallucinations in large language models on knowledge-intensive tasks.78% similarUnverifiedThe Decision API has a built-in retrieval-augmented generation (RAG) pipeline that first fetches the latest information from the internet or specified data sources, then combines language model reasoning to output decision-oriented conclusions directly usable by programs.75% similarUnverifiedThe web search capability of large language models is essentially a Tool Use / Function Calling mechanism; the model itself cannot access the internet directly but instead issues structured search requests that are executed by the host system, which then returns the results.75% similarUnverifiedFine-tuning is suitable for teaching a model a specific output style or domain tone, while RAG achieves immediate-update-ready results through an external knowledge base, and the two are often used in combination in engineering.74% similarUnverified传统大模型依赖参数化知识（将文本编码进模型权重参数），而RAG引入非参数化知识（将外部文档库作为可实时检索的动态知识源）73% similar
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