RAGO is a fully local RAG system that provides powerful document retrieval and intelligent Q&A through Ollama, protecting your data privacy and improving work efficiency
RAGO provides a complete local RAG solution, from document processing to intelligent Q&A, meeting all your needs in one stop
No external APIs required, protecting data privacy and security, all processing done locally
Supports TXT, Markdown and other document formats, easily build knowledge base
Based on SQLite vector database, providing fast and accurate semantic search
Call local models through Ollama, no dependence on cloud services
Built-in modern web interface, supporting drag-and-drop upload and real-time chat
Provides both CLI tools and HTTP API to meet different usage scenarios
Use Go command to install RAGO with one click and quickly start your local RAG journey
Create configuration file to customize RAGO behavior and parameters
[server]
port = 7127
host = "localhost"
enable_ui = true
cors_origins = ["*"]
[ollama]
embedding_model = "nomic-embed-text"
llm_model = "qwen3"
base_url = "http://localhost:11434"
timeout = "30s"
[sqvect]
db_path = "./data/rag.db"
top_k = 5RAGO is not just a RAG system, but the perfect combination of your data security and AI capabilities. We focus on local deployment to ensure your sensitive data never leaves your control.
Download RAGO now and experience the powerful features of local RAG system, making your document data more valuable