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information_retrieval_rag

This project is a Retrieval-Augmented Generation (RAG) system designed to extract scientific and technical information from research papers. The system is built to handle large-scale document processing, embedding-based retrieval, and context-aware responses, leveraging LangChain, ChromaDB, and LLMs for robust data extraction and conversational AI.

https://github.com/omnagvekar/information_retrieval_rag

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic links in README
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

This project is a Retrieval-Augmented Generation (RAG) system designed to extract scientific and technical information from research papers. The system is built to handle large-scale document processing, embedding-based retrieval, and context-aware responses, leveraging LangChain, ChromaDB, and LLMs for robust data extraction and conversational AI.

Basic Info
  • Host: GitHub
  • Owner: OmNagvekar
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 139 KB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 4
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

Owner

  • Login: OmNagvekar
  • Kind: user

GitHub Events

Total
  • Issues event: 10
  • Watch event: 5
  • Delete event: 2
  • Member event: 2
  • Push event: 39
  • Pull request review event: 1
  • Pull request event: 6
  • Create event: 5
Last Year
  • Issues event: 10
  • Watch event: 5
  • Delete event: 2
  • Member event: 2
  • Push event: 39
  • Pull request review event: 1
  • Pull request event: 6
  • Create event: 5

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 7
  • Total pull requests: 3
  • Average time to close issues: 9 days
  • Average time to close pull requests: 2 minutes
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 7
  • Pull requests: 3
  • Average time to close issues: 9 days
  • Average time to close pull requests: 2 minutes
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • OmNagvekar (7)
Pull Request Authors
  • OmNagvekar (3)
Top Labels
Issue Labels
enhancement (2) help wanted (2) good first issue (1)
Pull Request Labels
enhancement (1)