chore: import upstream snapshot with attribution

docs-website/docs/_templates/component-template.mdx

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+---
+title: "Component Name"
+id: "component-name"
+description: "A short description of the component"
+slug: "/component-name"
+---
+
+# Component Name
+
+<div className="key-value-table">
+
+|  |  |
+| --- | --- |
+| **Most common position in a pipeline** |  |
+| **Mandatory init variables** |  |
+| **Mandatory run variables** |  |
+| **Output variables** |  |
+| **API reference** |  |
+| **GitHub link** |  |
+| **Package name** |  |
+
+</div>
+
+## Overview
+
+*What does it do in general? For example,..?*
+
+*How does it work more specifically? Are there any pitfalls to pay attention to?*
+
+*(if applicable) How is it different from this other very similar component? Which one do you choose?*
+
+## Usage
+
+*Any mandatory imports?*
+
+### On its own
+
+*Code snippet on how to run a component*
+
+### In a pipeline
+
+*Code snippet of a component being introduced in a pipeline*
+
+*There can be more than one example. Add examples of pipelines where this component would be most useful, for example RAG, doc retrieval, etc.*

docs-website/docs/_templates/document-store-template.mdx

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+---
+title: "Document Store Name"
+id: "document-store-name"
+description: "A short description of the document store"
+slug: "/document-store-name"
+---
+
+# Document Store Name
+
+## Description
+
+*What are this Document Store features? When would a user select it, and when not?*
+
+*Are there any limitations?*
+
+*Users are often curious to know if a document store supports metadata filtering and sparse vectors.*
+
+## Initialization
+
+*Describe how to get this Document Store to work, with code samples.*
+
+## Supported Retrievers
+
+*Name of the supported Retriever(s).*
+
+*If several – describe how to choose an appropriate one for user’s goals (perhaps, one is faster and the other is more accurate).*
+
+## Link to GitHub
+
+*for example [https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/gradient](https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/gradient)*