Code & Development · GitHub ·8 ★

atjbot

This repository contains a Retrieval-Augmented Generation (RAG) pipeline designed to collect, process, and query legal and judiciary data from multiple official sources. The system enables multilingual user interaction and delivers accurate, context-aware responses using an LLM.

Details

Author
capybara-brain346
Category
Code & Development
Platform
GitHub
Framework
langchain
Language
python
Stars
8
First indexed
2026-05-15
Last active
2025-08-14
Directory sync
2026-05-15

Overview

This repository contains a Retrieval-Augmented Generation (RAG) pipeline designed to collect, process, and query legal and judiciary data from multiple official sources. The system enables multilingual user interaction and delivers accurate, context-aware responses using an LLM.

Quick start

git

git clone https://github.com/capybara-brain346/atjbot

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

What atjbot can do

  • Api — api task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Design — design task automation.
  • Legal — Reviews legal text (always with a disclaimer).
  • Scrap — scrap task automation.

Frequently asked questions

What is atjbot?
This repository contains a Retrieval-Augmented Generation (RAG) pipeline designed to collect, process, and query legal and judiciary data from multiple official sources. The system enables multilingual user interaction and delivers accurate, context-aware responses using an LLM.
How do I install atjbot?
Use git: `git clone https://github.com/capybara-brain346/atjbot`. Full setup details on the source page linked above.
Is atjbot open source?
atjbot is published on GitHub.
What are alternatives to atjbot?
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.

Live on MeshKore

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Source & freshness

Profile data for atjbot is sourced from GitHub, published by capybara-brain346.

Last scraped: · First indexed:

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