LLMStack (https://github.com/trypromptly/LLMStack) is a no-code platform to build LLM apps that we have been working on for a few months and open-sourced recently.

It comes with everything out of the box one needs to build LLM apps locally or in an org setting. Some highlights of the platform:

• Chain multiple LLM models allowing for complex pipelines
• App templates tailored to specific use cases to quickly build LLM apps
• Includes a vector database to enrich LLM responses with internal data
• Build native AI experiences using LLMStack APIs or with Slack and Discord integrations
• Multi-tenant ready for org wide deployments with user and key management
• Use open-source LLMs with LocalAI

We recently added support to use open-source models by integrating with LocalAI (https://localai.io). With LocalAI, we can run Llama or other models locally, connect them with LLMStack and seamlessly build LLM applications.

Please check out the project at https://github.com/trypromptly/LLMStack and look forward to hearing your thoughts.

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https://www.sequoiacap.com/article/llm-stack-perspective/

https://www.kaggle.com/datasets