GraphRAG

Headlines · 2

1. Nov 2
   DeepTutor connects tutoring, research, quizzes, and shared memory

   A Juejin AI article describes DeepTutor as an open-source, agent-native tutoring workspace that links Chat, Quiz, Research, and Visualize through one runtime. It reports that the system shares session context and memory across workflows, supports several RAG engines, and uses a file-backed three-layer memory system for inspectable traces, summaries, and synthesis. The article also identifies Next.js and FastAPI as its frontend and backend technologies and says Codex and Claude Code can operate as subagents.

   掘金 · 人工智能 · 🔥 0
2. Oct 31
   Agentic RAG Struggles to Find All Evidence for a Topic

   The ai-study-helper-v2 project tested prompts, query expansion, corpus-grounded facets, auditing, reranking, and section routing for exhaustive topic coverage in Agentic RAG. Adding more tools, turns, and queries did not reliably reveal every semantic facet, while a term-by-term full-text search recovered all three regression probes but retrieved 511 of 526 blocks. The project is therefore preserving block retrieval and moving toward precompiled, source-traceable LLM Wiki evidence maps as a possible way to organize and complete topic coverage.

   掘金 · 人工智能 · 🔥 0

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DeepTutor•4d Pinned

DeepTutor: Lifelong personalized tutoring with multi-agent collaboration and retrieval-augmented generation.

What problem it solves Learners need tutoring that can adapt across long-term study, use their own learning materials, and connect answers to sources. They also need a flexible environment for reading, practice, research, visualization, and other agent-assisted workflows without separating each activity from their learning history. Key features Personalized agent collaboration — The tutoring envir…

github.comhttps://github.com/HKUDS/DeepTutor