RLAMA

RLAMA: The Complete AI Platform for RAG Systems & Intelligent Agents

What is RLAMA? RLAMA is a comprehensive AI platform designed for building, deploying, and managing AI-powered solutions using local models. It empowers you to create everything from document Q&A systems to autonomous agent crews.

RLAMA combines Retrieval-Augmented Generation (RAG) systems with intelligent agents to automate various tasks, from document analysis to complex multi-agent collaboration. It uses 100% local processing with no data sent to external servers for maximum privacy.

Key Features:

• Complete RAG Solution:
  • Supports multiple document formats (.txt, .md, .pdf, etc.)
  • Advanced semantic chunking strategies
  • Local storage and processing.
• AI Agents & Crews:
  • Multiple agent roles (researcher, writer, coder, analyst)
  • Agent tools (RAG search, code execution, web search)
  • Collaborative workflows with sequential or parallel steps
• Multi-Agent Orchestration:
  • Sequential workflows for step-by-step processes
  • Parallel execution for concurrent task processing
  • Hierarchical delegation with manager agents
• Flexible Integration:
  • HTTP API server for application integration
  • Cross-platform support (macOS, Linux, Windows)
  • OpenAI model support alongside Ollama

How to Use RLAMA:

1. Install RLAMA:

   $ rlama --version
   RLAMA v0.1.29
   

2. Create a RAG System:

   $ rlama rag llama3 documentation ./docs
   Embeddings generated successfully!
   RAG system "documentation" created successfully!
   

3. Create an AI Agent:

   $ rlama agent create researcher --role="Data Analyst"
   Agent "researcher" created with RAG search tools!
   

4. Create a Crew:

   $ rlama crew create research-team researcher writer
   Crew "research-team" ready for collaborative tasks!
   

Why is RLAMA important?

RLAMA simplifies the creation and management of complex AI workflows, offering a complete platform for both RAG systems and AI agents. It is particularly valuable for:

• Organizations needing secure, private, local AI processing
• Researchers needing to query vast amounts of documentation or data
• Developers automating complex tasks with multi-agent systems

RLAMA provides visual RAG Builder and intuitive CLI, so users can easily get started without coding. With RLAMA's features, you can unlock the full potential of AI, ensuring your workflows are efficient, secure, and tailored to your needs.