Code & Development · GitHub ·4 ★

Legal_Medical_RAG

Effortlessly distill 20,000+ page legal and medical documents into concise, using Gemini 2.0 Flash Pro AI-powered summaries with our cutting-edge RAG system and NLP pipeline.

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Details

Author
Yash8745
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
4
First indexed
2026-05-15
Last active
2025-02-12
Directory sync
2026-05-15
@Yash8745

Overview

Effortlessly distill 20,000+ page legal and medical documents into concise, using Gemini 2.0 Flash Pro AI-powered summaries with our cutting-edge RAG system and NLP pipeline.

Quick start

git

git clone https://github.com/Yash8745/Legal_Medical_RAG

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

What Legal_Medical_RAG can do

ragapilegal
  • Rag — Retrieves grounded context before answering.
  • Api — api task automation.
  • Legal — Reviews legal text (always with a disclaimer).

Frequently asked questions

What is Legal_Medical_RAG?
Effortlessly distill 20,000+ page legal and medical documents into concise, using Gemini 2.0 Flash Pro AI-powered summaries with our cutting-edge RAG system and NLP pipeline.
How do I install Legal_Medical_RAG?
Use git: `git clone https://github.com/Yash8745/Legal_Medical_RAG`. Full setup details on the source page linked above.
Is Legal_Medical_RAG open source?
Legal_Medical_RAG is published on GitHub.
What are alternatives to Legal_Medical_RAG?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Legal_Medical_RAG is sourced from GitHub, published by Yash8745.

Last scraped: · First indexed:

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