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LLMStack
Open-source platform to build AI Agents, workflows and applications with your data

LLMStack
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Home: https://llmstack.ai

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What is LLMStack?

LLMStack is a comprehensive open-source platform designed for building AI-powered applications, agents, and workflows. The platform seamlessly integrates with major model providers including OpenAI, Cohere, Stability AI, and Hugging Face, enabling developers to create sophisticated AI applications without complex infrastructure setup.

The platform stands out for its data integration capabilities, allowing users to import and connect various data sources such as Web URLs, Sitemaps, PDFs, Audio files, PowerPoint presentations, and content from Google Drive and Notion. LLMStack also offers collaborative features, enabling team members to build and modify applications together through granular permission controls and role-based access.

Features

  • Model Integration: Support for major AI model providers including OpenAI, Cohere, and Stability AI
  • Data Source Support: Import capabilities for URLs, PDFs, Audio, PPTs, Google Drive, and Notion
  • Collaborative Development: Team-based app building with role-based access control
  • Custom Workflows: Ability to create and chain AI model workflows
  • Permission Management: Granular access control for public and private sharing

Use Cases

  • Building custom AI applications
  • Creating data-driven chatbots
  • Developing AI workflows
  • Team collaboration on AI projects
  • Managing AI model integrations
  • Building knowledge-based AI systems

FAQs

  • What types of data sources can be integrated with LLMStack?
    LLMStack supports various data sources including Web URLs, Sitemaps, PDFs, Audio files, PowerPoint presentations, Google Drive, and Notion imports.
  • Which AI model providers are supported by LLMStack?
    LLMStack supports major model providers including OpenAI, Cohere, Stability AI, Hugging Face, and more.
  • How does the collaboration feature work in LLMStack?
    LLMStack offers viewer and collaborator roles with granular permissions, allowing multiple users to modify and build applications together while controlling access levels.

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