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⚡ Atlas — Local-First RAG Engineering Platform

PyPI version Python License: MIT

Atlas is a local-first, zero-cost Retrieval-Augmented Generation (RAG) engineering platform with a full-featured visual web dashboard. Ingest documents, benchmark chunking strategies, visualize embeddings in 3D, run RAG queries, and evaluate pipeline quality — all from your browser with no cloud dependency.


🚀 Installation

pip install -U atlas-ragkit

▶️ Quick Start

  1. Open a terminal and navigate to any directory.
  2. Start the Atlas server:
    atlas server
    
  3. Your browser will open automatically at http://localhost:8000.
  4. In the System Config tab, click "Provision Workspace" to initialize your workspace with demo files and pipelines.

🏗️ Architecture

Atlas is structured as a clean monorepo with four modules:

Module Role
tlas_sdk Plugin interfaces and reference implementations (chunkers, embedders, retrievers, LLMs)
tlas_core Domain models, execution engine, ingestion, and studio services
tlas_server FastAPI REST API + full-featured visual web dashboard (SPA)
tlas_cli Minimal CLI — boots the server, manages workspace scaffold

🔑 Supported LLM Providers

Atlas supports Groq, OpenAI, Anthropic, Google Gemini, Mistral, Together AI, HuggingFace, Ollama, LM Studio, and local GGUF models. Configure your API keys through the Atlas web UI — no terminal required.

🗑️ Uninstall

Mac / Linux:

pip uninstall -y atlas-ragkit
rm -rf .atlas atlas.db

Windows (PowerShell):

pip uninstall -y atlas-ragkit
Remove-Item -Recurse -Force .atlas, atlas.db -ErrorAction SilentlyContinue

Windows (Command Prompt):

pip uninstall -y atlas-ragkit
rmdir /s /q .atlas & del /f /q atlas.db

Built with ❤️ by Rishi Bhanushali

Metadata

Release files for atlas-ragkit 1.1.5

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