SUMMARY AI要約 by gpt-5-mini
Agentic RAG Paper Assistant is an open-source workspace for research paper ingestion, evidence-traced QA and multi-source retrieval, intended for researchers or teams who need local/private paper analysis (summaries, method breakdowns, experiment interpretation, related-work and multi-paper comparison). It combines FastAPI + Streamlit frontend, PostgreSQL+pgvector, LangChain/LangGraph and OpenAI-compatible models. Key features: - Section-aware PDF ingestion (Markdown-like structure, line/section metadata) - Artifact extraction (tables/figures/algorithms) stored as searchable chunks - Source-aware Intent Planner to constrain tools and provenance - LangGraph multi-stage retrieval: plan → retrieve → evaluate → rewrite → generate - Evidence tracing with source, section, line and similarity scores - OpenAlex academic search, optional RabbitMQ async ingestion and Redis query-embedding cache - Streaming UI, long-session memory compression, and local-first design for private deployment
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| GitHub作成日 | 2026-05-06 |
| 最終Push | 2026-05-09 |
| 当サイト初検出 | 2026-05-09 |
| 最終取得 | 2026-05-09 15:42 |
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