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DeepResearch 场景下基于LangGraph的 Agentic RAG 系 统,实现了从"研究主题"到"结构化报告"的全⾃动生成验收效果。全程手敲代码,主要是为了验证和巩固前段时间对AI的学习成果,包括但不限于Prompt、RAG、LangChain、LangGraph等核心技术。

active 2026-07-10 → 2026-07-10 (UTC)

Complete coverage28,051 / 28,051 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-26 (UTC)
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Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2026-07-10 to 2026-07-10. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.

Recent activity

Latest issues, pull requests and releases

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.