LLMStack provides a low-code platform to build AI applications using pre-trained language models. It enables chaining multiple LLMs together for complex applications that generate text, answer questions, summarize text, translate text, generate media, and more. Users connect their data from sources like CSV, TXT, PDF, DOCX, PPTX, Google Drive, Notion, and websites, with the platform handling preprocessing and vectorization into a built-in vector database. A no-code builder supports constructing AI chains without coding. Deployment options include cloud via Promptly or on-premise. Apps access via HTTP API and integrate with Slack or Discord. Multi-tenant setup allows multiple organizations with user access controls.
Supports integration with major model providers like OpenAI, Cohere, Stability AI, and Hugging Face
Handles data preprocessing and vectorization automatically
Requires self-hosting setup, including PostgreSQL configuration that can fail with authentication errors
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