Qdrant and LangChain deliver production-ready RAG performance

Qdrant supports 1 million OpenAI vectors with a minimum of 2GB RAM and a maximum of 18GB, making it a resource-efficient vector store for RAG. LangChain supports 40+ vector stores, with Qdrant offering async support and scalable vector search for production LLM apps.