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LLMStack is a no-code platform for building generative AI applications, chatbots, agents and connecting them to your data and business processes. It is a framework to build new AI experiences or integrate AI into your existing products. LLMStack is designed to be modular and extensible. It helps you manage data that can be connected to your LLM applications to create context aware Generative AI applications.


Check out our Cloud offering at Promptly or follow the documentation to deploy LLMStack on your own infrastructure.


🔗 Chain multiple models: LLMStack allows you to chain multiple LLMs together to build complex generative AI applications.

📊 Use generative AI on your Data: Import your data into your accounts and use it in AI chains. LLMStack allows importing various types (CSV, TXT, PDF, DOCX, PPTX etc.,) of data from a variety of sources (gdrive, notion, websites, direct uploads etc.,). Platform will take care of preprocessing and vectorization of your data and store it in the vector database that is provided out of the box.

🛠️ No-code builder: LLMStack comes with a no-code builder that allows you to build AI chains without any coding experience. You can chain multiple LLMs together and connect them to your data and business processes.

☁️ Deploy to the cloud or on-premise: LLMStack can be deployed to the cloud or on-premise. You can deploy it to your own infrastructure or use our cloud offering at Promptly.

🚀 API access: Apps or chatbots built with LLMStack can be accessed via HTTP API. You can also trigger your AI chains from Slack, WhatsApp or Discord.

🏢 Multi-tenant: LLMStack is multi-tenant. You can create multiple organizations and add users to them. Users can only access the data and AI chains that belong to their organization.

What can you build with LLMStack?

Using LLMStack you can build a variety of generative AI applications, chatbots and agents. Here are some examples:

📝 Text generation: You can build apps that generate product descriptions, blog posts, news articles, tweets, emails, chat messages, etc., by using text generation models and optionally connecting your data. Check out this marketing content generator for example

🤖 Chatbots: You can build chatbots trained on your data powered by ChatGPT like Promptly Help that is embedded on Promptly website

🎨 Multimedia generation: Build complex applications that can generate text, images, videos, audio, etc. from a prompt. This story generator is an example

🗣️ Conversational AI: Build conversational AI systems that can have a conversation with a user. Check out this Harry Potter character chatbot

🔍 Search augmentation: Build search augmentation systems that can augment search results with additional information using APIs. Sharebird uses LLMStack to augment search results with AI generated answer from their content similar to Bing's chatbot

💬 Discord and Slack bots: Apps built on LLMStack can be triggered from Slack or Discord. You can easily connect your AI chains to Slack or Discord from LLMStack's no-code app editor. Check out our Discord server to interact with one such bot.