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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 2025-01-302025-01-30 (UTC)

Partial coverage16,473 / 20,775 hourly files (79%) · 2 absent upstream · 4,301 failed, retryable2024-03-292026-08-12 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
8
Pushes
2
Pull requests
0
Issues
0
Stars
3
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-01-30 to 2025-01-30. Pushes: 2 total, peak 2 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: 3 total, peak 3 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
adoresever2200

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.