Unverified50% confidenceFactExact time
The cognee.cognify() process typically involves calling a large language model for information extraction, so it is computationally expensive.
1
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50%
Confidence
Long-term
Relevance
10/18/2026
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Related Claims
UnverifiedThe cost of each large language model call consists of two parts: input tokens (Prompt) and output tokens (Completion).68% similarVerifiedLarge language models, through self-supervised learning on massive text data, are essentially complex statistical inductors that excel at capturing the central tendencies of existing human knowledge68% similarVerifiedLarge language models form parametric memory by compressing and encoding training corpora into weight matrices, which is distributed rather than exact storage, and this is one of the reasons for hallucinations about brand information.67% similarUnverifiedcognee.cognify() is the core method in the Cognee framework that triggers knowledge graph construction, performing entity recognition, relation extraction, and graph writing.66% similarUnverifiedThe inference process of large language models is divided into two phases, Prefill and Decode, and the computational complexity of the attention mechanism is O(n²).66% similar
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