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RLAMA
Open-source tool for building document question-answering systems with local AI models.
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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.
Productivity
Create, manage, and interact with RAG systems; Support for multiple document formats (.txt, .md, .pdf, etc.); Advanced semantic chunking strategies; Local storage and processing with no data sent externally; Web crawling to create RAGs directly from websites; Directory watching for automatic RAG updates; Hugging Face integration with 45,000+ GGUF models; HTTP API server for application integration; Cross-platform support (macOS, Linux, Windows); OpenAI model support alongside Ollama; AI Agents & Crews for specialized tasks; Visual RAG Builder (RLAMA Unlimited)
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π Stay ahead with AI and receive:
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35% Discount for ChatNode
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β
Access our Free Community and join 400K+ professionals learning AI
β 35% Discount for ChatNode