Using FastEmbed with Qdrant for Vector Search Install Qdrant Client and FastEmbed pipinstall"qdrant-client[fastembed]>=1.14.2" Initialize the client Qdrant Client has a simple in-memory mode that lets you try semantic search locally. fromqdrant_clientimportQdrantClient,modelsclient=QdrantClient(":memory:")# Qdrant is running from RAM. Add data Now you can add two sample documents, their associated metadata, and a point id for each. docs=["Qdrant has a LangChain integration for chatbots.","Qdr...
