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This project demonstrates how to process and analyze large PDF files using LangChain and other Python libraries. It includes steps for installing necessary libraries, converting PDFs to text, chunking text for processing, embedding text, and setting up a retrieval function for a question-answering system.

active 2024-03-272024-03-27 (UTC)

Complete coverage26,757 / 26,757 hourly files (100%) · 2 absent upstream2023-08-152026-09-02 (UTC)
Events
6
Pushes
2
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-03-27 to 2024-03-27. 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: 0 total, peak 0 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
mannuking2200

Recent activity

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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 — 0 stars here means stars gained during the window, not the repo's star count.