docs: Audit admonitions, related links, and prerequisites for style and consistency (#9217)

* add some related links

* admonitions audit

* initial prereq audit

* standardize install LF prereqs

* some coderabbit
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@ -14,7 +14,7 @@ Other types of storage, like traditional structured databases and chat memory, a
## Use a vector store component in a flow
:::tip
For examples of vector store components in flows, see [Create a vector RAG chatbot](/chat-with-rag) and [Embedding Model components](/components-embedding-models).
For examples of vector store components in flows, see [Create a vector RAG chatbot](/chat-with-rag) and [**Embedding Model** components](/components-embedding-models).
:::
This example uses the **Chroma DB** vector store component. Your vector store component's parameters and authentication may be different, but the document ingestion workflow is the same. A document is loaded from a local machine and chunked. The vector store component generates embeddings with the connected [model](/components-models) component, and stores them in the connected vector database.