Translation · GitHub ·5 ★

dr-x-nlp-pipeline

A fully offline NLP pipeline for extracting, chunking, embedding, querying, summarizing, and translating research documents using local LLMs. Inspired by the fictional mystery of Dr. X, the system supports multi-format files, local RAG-based Q&A, Arabic translation, and ROUGE-based summarization — a

Details

Author
ksm26
Category
Translation
Platform
GitHub
Framework
custom
Language
python
Stars
5
First indexed
2026-05-15
Last active
2025-04-21
Directory sync
2026-05-15

Overview

A fully offline NLP pipeline for extracting, chunking, embedding, querying, summarizing, and translating research documents using local LLMs. Inspired by the fictional mystery of Dr. X, the system supports multi-format files, local RAG-based Q&A, Arabic translation, and ROUGE-based summarization — a

Quick start

git

git clone https://github.com/ksm26/dr-x-nlp-pipeline

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What dr-x-nlp-pipeline can do

  • Research — Searches sources and synthesises evidence-based answers.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Translat — translat task automation.
  • Embedding — Computes vector embeddings for semantic search.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is dr-x-nlp-pipeline?
A fully offline NLP pipeline for extracting, chunking, embedding, querying, summarizing, and translating research documents using local LLMs. Inspired by the fictional mystery of Dr. X, the system supports multi-format files, local RAG-based Q&A, Arabic translation, and ROUGE-based summarization — a
How do I install dr-x-nlp-pipeline?
Use git: `git clone https://github.com/ksm26/dr-x-nlp-pipeline`. Full setup details on the source page linked above.
Is dr-x-nlp-pipeline open source?
dr-x-nlp-pipeline is published on GitHub.
What are alternatives to dr-x-nlp-pipeline?
Comparable agents include PDFMathTranslate, faster-whisper, Easydict. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for dr-x-nlp-pipeline is sourced from GitHub, published by ksm26.

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