LLMStack
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LLMStack builds generative AI apps, chatbots, and agents using user data with no coding needed.
What is LLMStack?
LLMStack is a no-code platform that allows users to build generative AI apps, chatbots, and agents by leveraging their own data. It supports major AI model providers like OpenAI, Cohere, Stability AI, and Hugging Face. Users can easily create applications without the need for coding skills. LLMStack enables the import of various data sources such as web URLs, PDFs, audio files, PPTs, Google Drive, and Notion data. It offers collaborative features for public sharing or restricted access, along with granular permission settings for multiple users to modify and build apps together. The platform is not open source and has dependencies on external providers, with potential data privacy concerns and limited support for specific data formats.
Who created LLMStack?
LLMStack was created by a team led by the founder and CEO, Dmitriy Kolesnikov. The platform was launched on August 26, 2023, as a no-code tool for building generative AI apps, chatbots, and agents. LLMStack allows users to easily create applications without coding skills by leveraging their own data and integrating major AI model providers like OpenAI, Cohere, Stability AI, and Hugging Face. The platform supports collaborative app building with roles such as viewers and collaborators, and it is powered by React for a responsive and user-friendly interface.
What is LLMStack used for?
- Build generative AI apps
- Create chatbots and agents
- Import your own data
- Connect data to LLM models
- Share apps publicly or restrict access
- Collaborate on app development
- Utilize major model providers like OpenAI, Cohere, Stability AI, Hugging Face
- Import data from various sources (Web URLs, PDFs, Audio, etc.)
- No-code platform for app development
- Granular permission settings for data access
- Build powerful apps using major model providers like OpenAI, Cohere, Stability AI, and Hugging Face
- Import your own data to supercharge generative AI applications and chatbots
- Share apps publicly or restrict access with granular permission settings
- Collaborate with multiple users to modify and build apps together
- Support a wide variety of data sources, including Web URLs, Sitemaps, PDFs, Audio, PPTs, Google Drive, and Notion imports
- Utilize a no-code platform for easy app creation
- Benefit from a responsive interface with React
- Access comprehensive documentation and an active community for support
- Enable quick and easy creation of apps
- Optimize user experience and foster teamwork
- Fosters teamwork
- Optimal user experience
- Quick and easy creation
- Web URLs data import
- PDFs data import
- Audio files data import
- PPTs data import
- Google Drive data import
- Notion data import
Who is LLMStack for?
- AI developers
- Chatbot developers
- App developers
How to use LLMStack?
To use LLMStack, follow these steps:
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Import Your Data: LLMStack allows you to import various data types such as Web URLs, PDFs, audio files, PPTs, Google Drive, and Notion imports.
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Connect Data to LLM Models: Once your data is imported, connect it to LLM models provided by major AI model providers like OpenAI, Cohere, Stability AI, and Hugging Face.
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Build Your App: Utilize the intuitive interface of LLMStack to create generative AI applications and chatbots without the need for any coding skills.
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Collaborate: LLMStack supports collaborative features, enabling you to share your apps publicly or restrict access to specific individuals. You can assign viewer and collaborator roles for collaborative app building.
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Access Support and Documentation: LLMStack offers comprehensive documentation on topics like the user interface, processors, apps, and data sources. Community support is available on platforms like Discord, LinkedIn, and Twitter for further assistance.
By following these steps, you can leverage LLMStack to build AI applications and chatbots efficiently and effectively.
Pros
- No-code platform
- Import diverse data sources
- Collaboration features
- Granular permission settings
- Responsive interface with React
- Comprehensive documentation
- Active Community
- Supports public or restricted access
- Fosters teamwork
- Optimal user experience
Cons
- Dependency on external providers
- Not open source
- No mentioned API access
- Requires own data set
- Potential data privacy concerns
- Limited to specific data formats
LLMStack FAQs
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What are the collaborative features of LLMStack?
- LLMStack has collaborative features that allow apps to be shared publicly or access to be restricted to specific individuals. Additionally, it offers granular permission settings, facilitating multiple users to modify and build apps together.
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What roles can be assigned in LLMStack?
- In LLMStack, you can assign different roles such as viewer roles, which allow someone to view the app, and collaborator roles, which allow users to modify and build the app together.
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What model providers are supported by LLMStack?
- LLMStack supports major model providers like OpenAI, Cohere, Stability AI, and Hugging Face.
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Can data be imported from different sources into LLMStack?
- Yes, LLMStack allows importing data from various sources including Web URLs, Sitemaps, PDFs, Audio files, PPTs, Google Drive, and Notion imports.
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How can access to LLMStack apps be restricted?
- Access to LLMStack apps can be restricted by utilizing its granular permission model, which allows sharing apps publicly with everyone or restricting access to specific individuals.
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Is coding required to use LLMStack?
- No, LLMStack is a no-code platform that enables users to build generative AI apps and chatbots without requiring any coding skills.
Get started with LLMStack
LLMStack reviews
Amani Ochieng
January 10, 2025
What do you like most about using LLMStack?
I appreciate the no-code aspect of LLMStack, which allows me to create chatbots without any programming knowledge. The platform is user-friendly and has a straightforward interface.
What do you dislike most about using LLMStack?
The biggest downside is the limited support for certain data formats. I had trouble importing some of my PDF files, which was frustrating.
What problems does LLMStack help you solve, and how does this benefit you?
LLMStack enables me to quickly deploy AI-driven applications for my business needs. It saves me time and resources, but I wish it could better handle diverse data inputs.
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David Nguyen
January 7, 2025
What do you like most about using LLMStack?
The ability to import data from various sources like Google Drive and Notion is fantastic. It makes it easy to gather everything in one place.
What do you dislike most about using LLMStack?
I find the dependency on external AI model providers a bit concerning, especially regarding data privacy. It makes me hesitant to use it for sensitive information.
What problems does LLMStack help you solve, and how does this benefit you?
It helps me create tailored chatbots for my customer service needs without needing to hire a developer. This approach has significantly improved my response times.
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Elena Jovanovic
January 1, 2025
What do you like most about using LLMStack?
I love the collaborative features. Working with my team on app development is smooth, and we can easily control who has access to what.
What do you dislike most about using LLMStack?
The platform could use more tutorials or customer support for new users like me. It was a bit challenging to get started.
What problems does LLMStack help you solve, and how does this benefit you?
It allows me to create and manage AI applications that cater to our specific business challenges, which has streamlined our operations.
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