Qdrant Vector Store for LlamaIndex

The `llama-index-vector-stores-qdrant` library provides an integration for using Qdrant as a vector store within the LlamaIndex framework. It enables users to store and retrieve vector embeddings efficiently for building Retrieval-Augmented Generation (RAG) applications. This integration supports various Qdrant features, including hybrid search capabilities, and is part of the LlamaIndex v0.10.0 ecosystem which adopted a modular architecture with separate integration packages.