chore: Enabling Milvus for VectorIO CI

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>

docs/source/providers/vector_io/inline_qdrant.md

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+# inline::qdrant
+
+## Description
+
+
+[Qdrant](https://qdrant.tech/documentation/) is an inline and remote vector database provider for Llama Stack. It
+allows you to store and query vectors directly in memory.
+That means you'll get fast and efficient vector retrieval.
+
+> By default, Qdrant stores vectors in RAM, delivering incredibly fast access for datasets that fit comfortably in
+> memory. But when your dataset exceeds RAM capacity, Qdrant offers Memmap as an alternative.
+>
+> \[[An Introduction to Vector Databases](https://qdrant.tech/articles/what-is-a-vector-database/)\]
+
+
+
+## Features
+
+- Lightweight and easy to use
+- Fully integrated with Llama Stack
+- Apache 2.0 license terms
+- Store embeddings and their metadata
+- Supports search by
+  [Keyword](https://qdrant.tech/articles/qdrant-introduces-full-text-filters-and-indexes/)
+  and [Hybrid](https://qdrant.tech/articles/hybrid-search/#building-a-hybrid-search-system-in-qdrant) search
+- [Multilingual and Multimodal retrieval](https://qdrant.tech/documentation/multimodal-search/)
+- [Medatata filtering](https://qdrant.tech/articles/vector-search-filtering/)
+- [GPU support](https://qdrant.tech/documentation/guides/running-with-gpu/)
+
+## Usage
+
+To use Qdrant in your Llama Stack project, follow these steps:
+
+1. Install the necessary dependencies.
+2. Configure your Llama Stack project to use Qdrant.
+3. Start storing and querying vectors.
+
+## Installation
+
+You can install Qdrant using docker:
+
+```bash
+docker pull qdrant/qdrant
+```
+## Documentation
+See the [Qdrant documentation](https://qdrant.tech/documentation/) for more details about Qdrant in general.
+
+
+## Configuration
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `path` | `<class 'str'>` | No | PydanticUndefined |  |
+
+## Sample Configuration
+
+```yaml
+path: ${env.QDRANT_PATH:=~/.llama/~/.llama/dummy}/qdrant.db
+
+```
+