Rlama

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RLAMA (Retrieval-Augmented Local Assistant Model Agent) is an open-source AI solution that integrates with local AI models to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems. It allows users to build powerful document question-answering systems with multiple document formats, advanced semantic chunking, and local storage and processing.
Open-source tool for building document question-answering systems with local AI models.
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rlama.dev/
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What is Rlama?

Open-source tool for building document question-answering systems with local AI models.

RLAMA (Retrieval-Augmented Local Assistant Model Agent) is an open-source AI solution that integrates with local AI models to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems. It allows users to build powerful document question-answering systems with multiple document formats, advanced semantic chunking, and local storage and processing.

Core Features
Create, manage, and interact with RAG systems
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Support for multiple document formats (.txt, .md, .pdf, etc.)
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Advanced semantic chunking strategies
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Local storage and processing with no data sent externally
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Web crawling to create RAGs directly from websites
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Directory watching for automatic RAG updates
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Hugging Face integration with 45,000+ GGUF models
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HTTP API server for application integration
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Cross-platform support (macOS, Linux, Windows)
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OpenAI model support alongside Ollama
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AI Agents & Crews for specialized tasks
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Visual RAG Builder (RLAMA Unlimited)
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Popular Use Cases
  • Query project documentation, manuals, and specifications
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  • Create secure RAG systems for sensitive documents with full privacy
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  • Query research papers, textbooks, and study materials for faster learning
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Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
  • RLAMA can be installed and used via the command line. Users can create RAG systems by indexing folders of documents
  • query documents in an interactive session
  • and manage RAG systems with commands like `rlama rag`
  • `rlama run`
  • `rlama list`
  • and `rlama delete`. RLAMA Unlimited offers a visual interface for building RAG systems without coding.
Pricing
Rlama uses a freemium pricing model. Pricing and features may change over time.
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Free
$0
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Pro
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Team
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Enterprise
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Frequently Asked Questions

Verification
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Source
Official website / Community submitted
Related Tags
AI WritingContent GenerationResearchEmail WritingSummarizationRewritingAcademic ResearchBrowser ExtensionFreemium
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