


What is LLMStack?
llmstack is a user-friendly and versatile open-source platform that enables you to create and deploy AI apps and chatbots without any coding. With llmstack, you can easily build powerful applications by combining AI models from major providers like OpenAI, Cohere, Stability AI, and Hugging Face. This platform specializes in data integration and processing, allowing you to import data from a wide range of sources including web URLs, sitemaps, PDFs, audio files, and Google Drive. Additionally, llmstack offers collaboration features, enabling multiple users to collaborate on app development. You can choose to share your apps publicly or restrict access to specific individuals using a granular permission model. Overall, llmstack is a comprehensive solution that empowers you to create AI apps and chatbots by leveraging diverse AI models and integrating various data sources.
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- Price
- Free

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LLMStack FQA
- What is LLMStack used for?
- What model providers does LLMStack support?
- Can I import my own data into LLMStack?
- Can I collaborate with others to build apps using LLMStack?
- Where can I find more information about LLMStack?
LLMStack Use Cases
LLMStack is an open-source platform that allows users to build AI apps, chatbots, and agents using their own data.
Users can easily use major model providers like OpenAI, Cohere, Stability AI, Hugging Face, and more to build powerful apps with LLMStack.
With LLMStack, users can import their own data from various sources such as Web URLs, Sitemaps, PDFs, Audio, PPTs, Google Drive, and Notion imports to enhance their generative AI applications and chatbots.
The platform is powered by React, making it easy for users to collaboratively build apps and share them publicly or with specific individuals using granular permission controls.
LLMStack provides detailed documentation on various aspects of the platform, including LLMStack UI, Processors, Apps, and Datasources.
Users can join the LLMStack community on Discord, LinkedIn, and Twitter to connect with other users and stay updated on the latest developments.
For additional information, users can visit the LLMStack blog and GitHub repository.