chore: Enabling Milvus for VectorIO CI

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

docs/source/providers/vector_io/remote_weaviate.md

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+# remote::weaviate
+
+## Description
+
+
+[Weaviate](https://weaviate.io/) is a vector database provider for Llama Stack.
+It allows you to store and query vectors directly within a Weaviate database.
+That means you're not limited to storing vectors in memory or in a separate service.
+
+## Features
+Weaviate supports:
+- Store embeddings and their metadata
+- Vector search
+- Full-text search
+- Hybrid search
+- Document storage
+- Metadata filtering
+- Multi-modal retrieval
+
+## Usage
+
+To use Weaviate in your Llama Stack project, follow these steps:
+
+1. Install the necessary dependencies.
+2. Configure your Llama Stack project to use chroma.
+3. Start storing and querying vectors.
+
+## Installation
+
+To install Weaviate see the [Weaviate quickstart documentation](https://weaviate.io/developers/weaviate/quickstart).
+
+## Documentation
+See [Weaviate's documentation](https://weaviate.io/developers/weaviate) for more details about Weaviate in general.
+
+
+## Sample Configuration
+
+```yaml
+{}
+
+```
+