The invention belongs to the field of
electronic design automation, and discloses a multi-agent
radio frequency circuit
netlist generation method and
system based on a large
language model, and the method comprises the steps: preparing a
data set, and constructing a
knowledge base; the method comprises the following steps: receiving and analyzing a
natural language demand of a user, combining a cue word project and an RAG mechanism, carrying out chained reasoning, introducing a
radio frequency design rule, and converting the information into structured parameter information; combining RAG
knowledge base retrieval and new topology generation, and fusing PDK process constraints to obtain candidate topologies and a
simulation netlist; a
simulation tool is called to execute
parameter analysis, iterative optimization is conducted on parameters in combination with a closed-loop feedback mechanism, and a final
netlist meeting user requirements is obtained. Automatic
decomposition, parallel cooperation and high-speed iteration of design tasks are achieved through multi-agent cooperation and in combination with the
radio frequency knowledge graph and the RAG; introducing physical constraints to enable the generated topological structure and parameters to meet the physical constraints; and a closed-loop
simulation feedback mechanism is fused, so that the dependence on manpower is reduced.