Minor changes

Author: pabel-rh

modules/developer-lightspeed/con-about-lightspeed-stack-and-llama-stack.adoc

@@ -5,13 +5,27 @@
 
 The {lcs-name} and Llama Stack deploy together as sidecar containers to augment {product-very-short} functionality.
 
-The {lcs-name} serves as the Llama Stack service intermediary, managing configurations for key components. These components include the large language model (LLM) inference providers, Model Context Protocol (MCP) or retrieval augmented generation (RAG) tool runtime providers, safety providers, and vector database settings.
+The Llama Stack delivers the augmented functionality by integrating and managing core components, which include:
 
-* {lcs-name} manages user feedback collection, MCP server configuration, and conversation history.
+* Large language model (LLM) inference providers
 
-* Llama Stack provides the inference functionality that {lcs-short} uses to process requests. For more information, see https://llamastack.github.io/docs#what-is-llama-stack[What is Llama Stack].
+* Model Context Protocol (MCP) or Retrieval Augmented Generation (RAG) tool runtime providers
 
-* The {ls-brand-name} plugin in {product-very-short} sends prompts and receives LLM responses through the {lcs-short} sidecar. {lcs-short} then uses the Llama Stack sidecar service to perform inference and MCP or RAG tool calling.
+* Safety providers
+
+* Vector database settings
+
+The {lcs-name} serves as the Llama Stack service intermediary. It manages the operational configuration and key data, specifically:
+
+* User feedback collection
+
+* MCP server configuration
+
+* Conversation history
+
+Llama Stack provides the inference functionality that {lcs-short} uses to process requests. For more information, see https://llamastack.github.io/docs#what-is-llama-stack[What is Llama Stack].
+
+The {ls-brand-name} plugin in {product-very-short} sends prompts and receives LLM responses through the {lcs-short} sidecar. {lcs-short} then uses the Llama Stack sidecar service to perform inference and MCP or RAG tool calling.
 
 [NOTE]
 ====

modules/developer-lightspeed/proc-using-developer-lightspeed-to-start-a-chat-for-the-first-time.adoc

@@ -23,7 +23,7 @@ You can start a chat with {ls-short} for quick answers on a number of topics dep
 +
 [NOTE]
 ====
-The following file types are supported: `yaml`, `json`, `txt`, and `xml`.
+The following file types are supported: `yaml`, `json`, and `txt`.
 ====
 *** Click *Open*.
 ** To start a chat using the existing prompts, in the {ls-short} virtual assistant interface, click any of the relevant prompt tiles.