doc update

Author: Didier Durand

doc/q_chat.md

@@ -22,7 +22,7 @@ message id - as last returned systemMessageId" (see example below) - of last the
 assume that you continue this conversation and restore the [LLM context window](https://klu.ai/glossary/context-window) 
 of this precedent conversation to continue the chat based on this LLM context.
 
-The q_chat script allows you to run conversations with Q. You have to provide a text file with 1 prompt per line. 
+The [q_chat.py](../src/q_chat.py) script allows you to run conversations with Q. You have to provide a text file with 1 prompt per line. 
 Prompts that are part of same conversation will be chained by prefix 'c:' at beginning of line. See example in 
 [sample file](/data/prompt_list.txt)
 

doc/q_list_applications.md

@@ -13,7 +13,7 @@ The most important ones are the application itself, its index delivering the RAG
 the data source(s) from which the index is built, the retriever retrieving the documents used 
 for answering the user prompts, the web experience offering a default interactive user interface.
 
-q_list_applications script will call the various required Q SDK APIs to aggregate those objects in a hierarchical 
+The [q_list_applications.py](/src/q_list_applications.py) script will call the various required Q SDK APIs to aggregate those objects in a hierarchical 
 manner representing dependencies among them in the returned json. This json is an array comprising one aggregate 
 of objects per application: see next section.
 

doc/q_list_conversations.md

@@ -6,7 +6,7 @@
 
 ### Description
 
-q_list_conversations is a script allowing the retrieval in a json structure of the conversations 
+[q_list_conversations.py](/src/q_list_conversations.py) is a script allowing the retrieval in a json structure of the conversations 
 that happened between a named user and the Q application. It combines 2 APIs, [boto3("qbusiness").list_conversations()](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/qbusiness/client/list_conversations.html) 
 and [boto3("qbusiness").list_messages()](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/qbusiness/client/list_messages.html), 
 to bring together conversation and message details together in one json aggregate.

doc/q_list_documents.md

@@ -24,7 +24,7 @@ relevant documents for the user query. b) a generation component (based on LLM(s
 the retrieved documents and then generates an answer to the query using a large language model. The documents provided 
 by the retriever allow the LLM to deliver a more specific answer to the question.
 
-q_list_docs inventories those docs and returns them in JSON structure that can be further processed by piping it into 
+Script [q_list_documents.py](/src/q_list_documents.py) inventories those docs and returns them in JSON structure that can be further processed by piping it into 
 other shell utilities like jq, sed, etc.
 
 ### Usage