LLM Application Developer Stack
Build, test, and deploy production LLM apps — with observability, vector retrieval, visual flow building, and evaluation baked in.
Tools in This Stack
Build chatbots, RAG apps, and agent workflows on a visual canvas — without writing glue code. One of the most-starred open-source LLM platforms in production.
Open-source Firebase alternative with Postgres, auth, storage, and built-in vector search. The backend most AI apps use to combine relational data with semantic retrieval.
Trace, debug, and evaluate your LLM application in production. Langfuse shows you exactly which prompts are failing, what they cost, and where quality is slipping.
The model serious writers and researchers reach for when accuracy matters more than speed. Exceptional at long documents and nuanced reasoning.
Visual drag-and-drop builder for LLM apps — chatbots, RAG pipelines, and agent workflows without code. Open-source and self-hostable.