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Aditya8047/Multidocument-VectorStore

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RAG (Retrieval Augmented Generation) Pipeline, which can handle .pdf, .txt and .csv files and user has options to create the pipeline using various methods for chunking, choosing the embedding model, and the type of retriever to get the required results

active 2024-07-172024-12-05 (UTC)

Complete coverage27,206 / 27,208 hourly files (100%) · 2 absent upstream2023-08-152026-09-21 (UTC)
Events
6
Pushes
3
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 142 days from 2024-07-17 to 2024-12-05. Pushes: 3 total, peak 3 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: 1 total, peak 1 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
Aditya80473300

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