[Release] Docs Agent version 0.1.5

What's changed:

- Update the `poetry.lock` file to bump up the version of `werkzeug`
- Update the introduction paragraph of the main `README` file.
- Add a new diagram on Docs Agent's pre-processing flow of various doc types.
- Update the `README` file in the `script` directory to include the diagram.

demos/palm/python/docs-agent/README.md

@@ -1,29 +1,30 @@
 # Docs Agent
 
 The Docs Agent project enables [PaLM API][genai-doc-site] users to launch a chat application
-on a Linux-based host machine using their own set of documents as a source dataset.
+on a Linux host machine using their documents as a dataset.
 
-**Note**: If you're interested in setting up and launching the Docs Agent sample app on your
-host machine, see the [Set up Docs Agent][set-up-docs-agent] section below.
+**Note**: If you want to set up and launch the Docs Agent sample app on your host machine,
+check out the [Set up Docs Agent][set-up-docs-agent] section below.
 
 ## Overview
 
-The Docs Agent sample app is being developed to demonstrate an AI-powered chatbot application
+The Docs Agent project is being developed to demonstrate an AI-powered chatbot application
 (including a backend server and web UI) that can answer questions specific to any product,
-service, or topic that has a great quantity of information available as documentation (which
-can be from various sources such as Markdown, HTML, Google Docs, chat conversations, etc.).
+service, or topic that has a large amount of information available in documentation (which
+can be from various sources such as Markdown, HTML, Google Docs, Gmail, PDF, etc.).
 
 The main goal of the Docs Agent project is:
 
-- You can supply your own set of documents to enable a PaLM 2 model to synthesize useful,
+- You can supply your own set of documents to enable a PaLM 2 model to generate useful,
   relevant, and accurate responses that are grounded on the documented information.
 
 The Docs Agent sample app is designed to be easily set up and configured in a Linux environment
 and is required that you have access to Google’s [PaLM API][genai-doc-site].
 
-Keep in mind that this approach is not to “fine-tune” an LLM (large language model)
-itself, but the Docs Agent sample app uses a mixture of prompt engineering and
-embeddings techniques on top of a publicly available LLM model such as PaLM 2.
+Keep in mind that this approach does not involve “fine-tuning” an LLM (large language model).
+Instead, the Docs Agent sample app uses a mixture of prompt engineering and embedding techniques,
+also known as Retrieval Augmented Generation (RAG), on top of a publicly available LLM model
+like  PaLM 2.
 
 ![Docs Agent architecture](docs/images/docs-agent-architecture-01.png)
 
@@ -310,6 +311,10 @@ The project includes Apps Script files that allow you to convert various sources
 use these Markdown files as additional input sources for Docs Agent. For more information, see the
 [`README`][apps-script-readme] file in the `apps_script` directory.
 
+![Docs Agent pre-processing flow](docs/images/docs-agent-pre-processing-01.png)
+
+**Figure 7**. Docs Agent's pre-processing flow for various doc types.
+
 ## Issues identified
 
 The following issues have been identified and need to be worked on: