langchain-rag

The langchain-rag skill is designed to facilitate the development of retrieval-augmented generation (RAG) systems, which enhance the responses of language models by incorporating relevant context from external knowledge sources. This skill addresses the challenge of generating accurate and contextually relevant responses by providing a structured pipeline that includes document loading, text splitting, embedding, and vector storage. By leveraging these components, developers can create systems that not only generate text but also retrieve pertinent information to improve the quality of the output.