Skip to content

NebeyouMusie/End-to-End-RAG-Project-using-ObjectBox-and-LangChain

View on GitHub ↗Related repositories →

In this end to end project I have built a RAG app using ObjectBox Vector Databse and LangChain. With Objectbox you can do OnDevice AI, without the data ever needing to leave the device.

active 2024-05-262026-03-01 (UTC)

Complete coverage27,105 / 27,107 hourly files (100%) · 2 absent upstream2023-08-152026-09-17 (UTC)
Events
14
Pushes
1
Pull requests
0
Issues
1
Stars
7
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 645 days from 2024-05-26 to 2026-03-01. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 3 total, peak 3 in a day. Stars: 7 total, peak 1 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.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 7 stars here means stars gained during the window, not the repo's star count.