JEen-wang/Adaptive-rag
按问题复杂度自动分流的电商客服 RAG:简单问题直接回答;复杂问题经过多跳检索并自我纠错;查单、退改通过工具调用完成,且高风险写操作必须先经人工确认。基于 FastAPI 和 LangGraph,混合检索并附带引用,内置离线评测与 Prometheus 指标。涵盖简历写法和项目面试拷打
Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]
$ git clone https://github.com/TIGER-AI-Lab/TheoremExplainAgent.git按问题复杂度自动分流的电商客服 RAG:简单问题直接回答;复杂问题经过多跳检索并自我纠错;查单、退改通过工具调用完成,且高风险写操作必须先经人工确认。基于 FastAPI 和 LangGraph,混合检索并附带引用,内置离线评测与 Prometheus 指标。涵盖简历写法和项目面试拷打
open source assistant hybrid using small models (2b - 5b) and gemini , with image and agentic tool capabilities and integration of RAG with effiecient memory. android support using adb
Framework profissional de orquestracao multi-agente em Python: crews, flows orientados a eventos, ReAct, RAG, memoria, MCP/A2A e multi-provider LLM
LLM agent 的有界自纠错长期记忆层:把连续、含矛盾的项目交互日志蒸馏成有界、可自更新的记忆库。Bounded, self-correcting long-term memory for LLM agents — candidate pool + value dynamics + tension adjudication + causal-replay evals.
Data from GitHub · snapshot Nov 13, 2026