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A learning project for building local knowledge bases from PDFs using LangChain, supporting multiple LLMs (DeepSeek, OpenAI). Features include PDF processing, knowledge graph construction, and natural language Q&A interface.一个基于 LangChain 的学习项目,用于构建 PDF 本地知识库,支持多种大语言模型(DeepSeek、OpenAI)。功能包括 PDF 处理、知识图谱构建和自然语言问答界面。

active 2025-01-30 → 2026-04-24 (UTC)

Complete coverage27,291 / 27,294 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-25 (UTC)
Events
221
Pushes
7
Pull requests
0
Issues
6
Stars
179
Forks
27

Activity over time

Daily event counts in the loaded window

Line chart, 450 days from 2025-01-30 to 2026-04-24. Pushes: 7 total, peak 7 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 6 total, peak 2 in a day. Comments: 2 total, peak 1 in a day. Stars: 179 total, peak 7 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

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

ContributorContributionsPushesPRsComments
adoresever7700
gzh2462001
xyz780553682000
smith751000
azy96531001
tsoiwingchun1000
BaofengZan1000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 179 stars here means stars gained during the window, not the repo's star count.