diff --git a/demos/palm/python/docs-agent/README.md b/demos/palm/python/docs-agent/README.md
index 526708391..2a724efd2 100644
--- a/demos/palm/python/docs-agent/README.md
+++ b/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:
diff --git a/demos/palm/python/docs-agent/docs/images/docs-agent-pre-processing-01.png b/demos/palm/python/docs-agent/docs/images/docs-agent-pre-processing-01.png
new file mode 100644
index 000000000..7e81cccdf
Binary files /dev/null and b/demos/palm/python/docs-agent/docs/images/docs-agent-pre-processing-01.png differ
diff --git a/demos/palm/python/docs-agent/poetry.lock b/demos/palm/python/docs-agent/poetry.lock
index c5ddf9eeb..5f7f888c8 100644
--- a/demos/palm/python/docs-agent/poetry.lock
+++ b/demos/palm/python/docs-agent/poetry.lock
@@ -91,20 +91,21 @@ wrapt = [
 
 [[package]]
 name = "asttokens"
-version = "2.4.0"
+version = "2.4.1"
 description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = "*"
 files = [
-    {file = "asttokens-2.4.0-py2.py3-none-any.whl", hash = "sha256:cf8fc9e61a86461aa9fb161a14a0841a03c405fa829ac6b202670b3495d2ce69"},
-    {file = "asttokens-2.4.0.tar.gz", hash = "sha256:2e0171b991b2c959acc6c49318049236844a5da1d65ba2672c4880c1c894834e"},
+    {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
+    {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
 ]
 
 [package.dependencies]
 six = ">=1.12.0"
 
 [package.extras]
-test = ["astroid", "pytest"]
+astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
+test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 
 [[package]]
 name = "astunparse"
@@ -121,17 +122,6 @@ files = [
 six = ">=1.6.1,<2.0"
 wheel = ">=0.23.0,<1.0"
 
-[[package]]
-name = "backcall"
-version = "0.2.0"
-description = "Specifications for callback functions passed in to an API"
-optional = false
-python-versions = "*"
-files = [
-    {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"},
-    {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
-]
-
 [[package]]
 name = "backoff"
 version = "2.2.1"
@@ -197,29 +187,29 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "23.10.0"
+version = "23.10.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "black-23.10.1.tar.gz", hash = "sha256:1f8ce316753428ff68749c65a5f7844631aa18c8679dfd3ca9dc1a289979c258"},
 ]
 
 [package.dependencies]
@@ -239,24 +229,24 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "blinker"
-version = "1.6.3"
+version = "1.7.0"
 description = "Fast, simple object-to-object and broadcast signaling"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "blinker-1.6.3-py3-none-any.whl", hash = "sha256:296320d6c28b006eb5e32d4712202dbcdcbf5dc482da298c2f44881c43884aaa"},
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+    {file = "blinker-1.7.0-py3-none-any.whl", hash = "sha256:c3f865d4d54db7abc53758a01601cf343fe55b84c1de4e3fa910e420b438d5b9"},
+    {file = "blinker-1.7.0.tar.gz", hash = "sha256:e6820ff6fa4e4d1d8e2747c2283749c3f547e4fee112b98555cdcdae32996182"},
 ]
 
 [[package]]
 name = "cachetools"
-version = "5.3.1"
+version = "5.3.2"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "cachetools-5.3.1-py3-none-any.whl", hash = "sha256:95ef631eeaea14ba2e36f06437f36463aac3a096799e876ee55e5cdccb102590"},
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+    {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"},
 ]
 
 [[package]]
@@ -272,101 +262,101 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.3.0"
+version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [[package]]
@@ -708,13 +698,13 @@ files = [
 
 [[package]]
 name = "etils"
-version = "1.5.1"
+version = "1.5.2"
 description = "Collection of common python utils"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -730,7 +720,7 @@ array-types = ["etils[enp]"]
 dev = ["chex", "dataclass_array", "optree", "pyink", "pylint (>=2.6.0)", "pytest", "pytest-subtests", "pytest-xdist", "torch"]
 docs = ["etils[all,dev]", "sphinx-apitree[ext]"]
 eapp = ["absl-py", "etils[epy]", "simple_parsing"]
-ecolab = ["etils[enp]", "etils[epy]", "jupyter", "mediapy", "numpy"]
+ecolab = ["etils[enp]", "etils[epy]", "jupyter", "mediapy", "numpy", "packaging"]
 edc = ["etils[epy]"]
 enp = ["etils[epy]", "numpy"]
 epath = ["etils[epy]", "fsspec", "importlib_resources", "typing_extensions", "zipp"]
@@ -760,13 +750,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "executing"
-version = "2.0.0"
+version = "2.0.1"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
-python-versions = "*"
+python-versions = ">=3.5"
 files = [
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 ]
 
 [package.extras]
@@ -774,13 +764,13 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
 [[package]]
 name = "fastapi"
-version = "0.104.0"
+version = "0.104.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -794,19 +784,19 @@ all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)"
 
 [[package]]
 name = "filelock"
-version = "3.12.4"
+version = "3.13.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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-testing = ["covdefaults (>=2.3)", "coverage (>=7.3)", "diff-cover (>=7.7)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)", "pytest-timeout (>=2.1)"]
-typing = ["typing-extensions (>=4.7.1)"]
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "flask"
@@ -868,19 +858,22 @@ files = [
 
 [[package]]
 name = "flax"
-version = "0.7.4"
+version = "0.7.5"
 description = "Flax: A neural network library for JAX designed for flexibility"
 optional = false
 python-versions = ">=3.9"
 files = [
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 [package.dependencies]
-jax = ">=0.4.2"
+jax = ">=0.4.19"
 msgpack = "*"
-numpy = ">=1.12"
+numpy = [
+    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
+    {version = ">=1.22", markers = "python_version < \"3.11\""},
+]
 optax = "*"
 orbax-checkpoint = "*"
 PyYAML = ">=5.4.1"
@@ -890,17 +883,17 @@ typing-extensions = ">=4.2"
 
 [package.extras]
 all = ["matplotlib"]
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 name = "fsspec"
-version = "2023.9.2"
+version = "2023.10.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
@@ -989,13 +982,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.23.3"
+version = "2.23.4"
 description = "Google Authentication Library"
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 python-versions = ">=3.7"
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 [package.dependencies]
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 ]
 
 [package.dependencies]
-grpcio = ">=1.59.0"
+grpcio = ">=1.59.2"
 protobuf = ">=4.21.6,<5.0dev"
 setuptools = "*"
 
@@ -1397,42 +1390,40 @@ testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)",
 
 [[package]]
 name = "ipython"
-version = "8.16.1"
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 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
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 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 decorator = "*"
 exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
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 matplotlib-inline = "*"
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 pygments = ">=2.4.0"
 stack-data = "*"
 traitlets = ">=5"
 
 [package.extras]
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 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
 notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
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 [[package]]
 name = "isort"
@@ -1464,13 +1455,13 @@ files = [
 
 [[package]]
 name = "jax"
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+version = "0.4.20"
 description = "Differentiate, compile, and transform Numpy code."
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1484,44 +1475,44 @@ scipy = ">=1.9"
 
 [package.extras]
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-ci = ["jaxlib (==0.4.18)"]
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+cuda11-cudnn86 = ["jaxlib (==0.4.20+cuda11.cudnn86)"]
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 minimum-jaxlib = ["jaxlib (==0.4.14)"]
-tpu = ["jaxlib (==0.4.19)", "libtpu-nightly (==0.1.dev20231018)", "requests"]
+tpu = ["jaxlib (==0.4.20)", "libtpu-nightly (==0.1.dev20231102)", "requests"]
 
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 name = "jaxlib"
-version = "0.4.19"
+version = "0.4.20"
 description = "XLA library for JAX"
 optional = false
 python-versions = ">=3.9"
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 [[package]]
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 [package.dependencies]
@@ -3976,13 +3954,13 @@ files = [
 
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 [[package]]
@@ -4096,28 +4074,28 @@ telegram = ["requests"]
 
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 [[package]]
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 [package.dependencies]
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 [package.extras]
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 [package.dependencies]
@@ -4508,13 +4482,13 @@ watchdog = ["watchdog (>=2.3)"]
 
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+version = "0.41.3"
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 python-versions = ">=3.7"
 files = [
-    {file = "wheel-0.41.2-py3-none-any.whl", hash = "sha256:75909db2664838d015e3d9139004ee16711748a52c8f336b52882266540215d8"},
-    {file = "wheel-0.41.2.tar.gz", hash = "sha256:0c5ac5ff2afb79ac23ab82bab027a0be7b5dbcf2e54dc50efe4bf507de1f7985"},
+    {file = "wheel-0.41.3-py3-none-any.whl", hash = "sha256:488609bc63a29322326e05560731bf7bfea8e48ad646e1f5e40d366607de0942"},
+    {file = "wheel-0.41.3.tar.gz", hash = "sha256:4d4987ce51a49370ea65c0bfd2234e8ce80a12780820d9dc462597a6e60d0841"},
 ]
 
 [package.extras]
diff --git a/demos/palm/python/docs-agent/pyproject.toml b/demos/palm/python/docs-agent/pyproject.toml
index 647e88018..7b01146c8 100644
--- a/demos/palm/python/docs-agent/pyproject.toml
+++ b/demos/palm/python/docs-agent/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "docs-agent"
-version = "0.1.4"
+version = "0.1.5"
 description = ""
 authors = ["Docs Agent contributors"]
 readme = "README.md"
diff --git a/demos/palm/python/docs-agent/scripts/README.md b/demos/palm/python/docs-agent/scripts/README.md
index 18481be25..1763b04cb 100644
--- a/demos/palm/python/docs-agent/scripts/README.md
+++ b/demos/palm/python/docs-agent/scripts/README.md
@@ -7,6 +7,10 @@ generated embeddings in the vector database:
 - [`markdown_to_plain_text.py`][markdown-to-plain-text]
 - [`populate_vector_database.py`][populate-vector-database]
 
+![Docs Agent pre-processing flow](../docs/images/docs-agent-pre-processing-01.png)
+
+**Figure 1**. Docs Agent's pre-processing flow from source documents to the vector database.
+
 ## Steps in the markdown_to_plain_text.py script
 
 When processing Markdown files to plain text using the