Build a RAG application with Runware and LangChain (opens in new tab)

Retrieval-augmented generation (RAG) connects LLM answers to your own documents instead of relying on training data. This tutorial builds a complete pipeline with Runware handling generation on purpose-built inference infrastructure, which is faster and cheaper than commodity providers, through an OpenAI-compatible endpoint, and LangChain handling the indexing and retrieval layer. Without retrieval, assistants either hallucinate details such as inventing API fields or policies that don't exis...