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amathur2k/Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit

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Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it ideal for efficient document retrieval and summarization.

active 2024-07-02 → 2024-07-11 (UTC)

Complete coverage27,174 / 27,176 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-20 (UTC)
Events
12
Pushes
9
Pull requests
2
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 10 days from 2024-07-02 to 2024-07-11. Pushes: 9 total, peak 4 in a day. Pull requests: 2 total, peak 2 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
amathur2k11920

Recent activity

Latest issues, pull requests and releases

  • Pull request#1amathur2k2024-07-04 18:48
  • Pull request#1amathur2k2024-07-04 18:48

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.