stackitcloud/rag-template

The 'rag-template' project is a classic example of a 'Hello World' for the LLM era. With only 72 stars and 8 forks after more than a year of existence, and a velocity of zero, it lacks any significant community traction or technical moat. It functions more as a marketing asset or a quick-start guide for users of the STACKIT cloud rather than a standalone software product. The RAG space is currently dominated by sophisticated frameworks like LangChain and LlamaIndex, which offer hundreds of similar templates that are better maintained and more feature-rich. Furthermore, frontier labs have largely subsumed this functionality through managed services like OpenAI Assistants, AWS Bedrock Knowledge Bases, and Google Vertex AI Search. There is no proprietary logic or data gravity here; any competent developer could recreate this setup in a few hours using standard documentation. Its displacement horizon is essentially 'immediate' as superior, more robust alternatives already exist.