diff --git a/docs/extras/modules/chains/how_to/learned_prompt_optimization.ipynb b/docs/extras/modules/chains/how_to/learned_prompt_optimization.ipynb
index 45a02af45ce..3e0702b4f12 100644
--- a/docs/extras/modules/chains/how_to/learned_prompt_optimization.ipynb
+++ b/docs/extras/modules/chains/how_to/learned_prompt_optimization.ipynb
@@ -17,7 +17,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Install necessary packages\n",
+    "# ! pip install langchain langchain-experimental matplotlib"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,14 +43,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "# pick and configure the LLM of your choice\n",
     "\n",
     "from langchain.llms import OpenAI\n",
-    "llm = OpenAI(engine=\"text-davinci-003\")\n"
+    "llm = OpenAI(engine=\"text-davinci-003\")"
    ]
   },
   {
@@ -93,7 +103,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import langchain.chains.rl_chain as rl_chain\n",
+    "import langchain_experimental.rl_chain as rl_chain\n",
     "\n",
     "chain = rl_chain.PickBest.from_llm(llm=llm, prompt=PROMPT)\n"
    ]
@@ -466,12 +476,10 @@
     }
    ],
    "source": [
-    "# note matplotlib is not a dependency of langchain so you need to install to plot\n",
-    "\n",
-    "# from matplotlib import pyplot as plt\n",
-    "# chain.metrics.to_pandas()['score'].plot(label=\"default learning policy\")\n",
-    "# random_chain.metrics.to_pandas()['score'].plot(label=\"random selection policy\")\n",
-    "# plt.legend()\n",
+    "from matplotlib import pyplot as plt\n",
+    "chain.metrics.to_pandas()['score'].plot(label=\"default learning policy\")\n",
+    "random_chain.metrics.to_pandas()['score'].plot(label=\"random selection policy\")\n",
+    "plt.legend()\n",
     "\n",
     "print(f\"The final average score for the default policy, calculated over a rolling window, is: {chain.metrics.to_pandas()['score'].iloc[-1]}\")\n",
     "print(f\"The final average score for the random policy, calculated over a rolling window, is: {random_chain.metrics.to_pandas()['score'].iloc[-1]}\")"
@@ -816,7 +824,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.16"
+   "version": "3.9.17"
   },
   "orig_nbformat": 4
  },
diff --git a/libs/langchain/langchain/chains/rl_chain/__init__.py b/libs/experimental/langchain_experimental/rl_chain/__init__.py
similarity index 89%
rename from libs/langchain/langchain/chains/rl_chain/__init__.py
rename to libs/experimental/langchain_experimental/rl_chain/__init__.py
index f112dcea092..ca558dd6f39 100644
--- a/libs/langchain/langchain/chains/rl_chain/__init__.py
+++ b/libs/experimental/langchain_experimental/rl_chain/__init__.py
@@ -1,6 +1,6 @@
 import logging
 
-from langchain.chains.rl_chain.base import (
+from langchain_experimental.rl_chain.base import (
     AutoSelectionScorer,
     BasedOn,
     Embed,
@@ -12,7 +12,7 @@ from langchain.chains.rl_chain.base import (
     embed,
     stringify_embedding,
 )
-from langchain.chains.rl_chain.pick_best_chain import (
+from langchain_experimental.rl_chain.pick_best_chain import (
     PickBest,
     PickBestEvent,
     PickBestFeatureEmbedder,
diff --git a/libs/langchain/langchain/chains/rl_chain/base.py b/libs/experimental/langchain_experimental/rl_chain/base.py
similarity index 98%
rename from libs/langchain/langchain/chains/rl_chain/base.py
rename to libs/experimental/langchain_experimental/rl_chain/base.py
index 26ac9a43e13..9b3d7e018af 100644
--- a/libs/langchain/langchain/chains/rl_chain/base.py
+++ b/libs/experimental/langchain_experimental/rl_chain/base.py
@@ -19,19 +19,19 @@ from typing import (
 from langchain.callbacks.manager import CallbackManagerForChainRun
 from langchain.chains.base import Chain
 from langchain.chains.llm import LLMChain
-from langchain.chains.rl_chain.metrics import (
+from langchain_experimental.rl_chain.metrics import (
     MetricsTrackerAverage,
     MetricsTrackerRollingWindow,
 )
-from langchain.chains.rl_chain.model_repository import ModelRepository
-from langchain.chains.rl_chain.vw_logger import VwLogger
+from langchain_experimental.rl_chain.model_repository import ModelRepository
+from langchain_experimental.rl_chain.vw_logger import VwLogger
 from langchain.prompts import (
     BasePromptTemplate,
     ChatPromptTemplate,
     HumanMessagePromptTemplate,
     SystemMessagePromptTemplate,
 )
-from langchain.pydantic_v1 import BaseModel, Extra, root_validator
+from langchain_experimental.pydantic_v1 import BaseModel, Extra, root_validator
 
 if TYPE_CHECKING:
     import vowpal_wabbit_next as vw
diff --git a/libs/langchain/langchain/chains/rl_chain/metrics.py b/libs/experimental/langchain_experimental/rl_chain/metrics.py
similarity index 100%
rename from libs/langchain/langchain/chains/rl_chain/metrics.py
rename to libs/experimental/langchain_experimental/rl_chain/metrics.py
diff --git a/libs/langchain/langchain/chains/rl_chain/model_repository.py b/libs/experimental/langchain_experimental/rl_chain/model_repository.py
similarity index 100%
rename from libs/langchain/langchain/chains/rl_chain/model_repository.py
rename to libs/experimental/langchain_experimental/rl_chain/model_repository.py
diff --git a/libs/langchain/langchain/chains/rl_chain/pick_best_chain.py b/libs/experimental/langchain_experimental/rl_chain/pick_best_chain.py
similarity index 99%
rename from libs/langchain/langchain/chains/rl_chain/pick_best_chain.py
rename to libs/experimental/langchain_experimental/rl_chain/pick_best_chain.py
index 0da0780313c..090db9d8633 100644
--- a/libs/langchain/langchain/chains/rl_chain/pick_best_chain.py
+++ b/libs/experimental/langchain_experimental/rl_chain/pick_best_chain.py
@@ -3,7 +3,7 @@ from __future__ import annotations
 import logging
 from typing import Any, Dict, List, Optional, Tuple, Type, Union
 
-import langchain.chains.rl_chain.base as base
+import langchain_experimental.rl_chain.base as base
 from langchain.base_language import BaseLanguageModel
 from langchain.callbacks.manager import CallbackManagerForChainRun
 from langchain.chains.llm import LLMChain
@@ -307,6 +307,7 @@ class PickBest(base.RLChain[PickBestEvent]):
             ]
 
         kwargs["vw_cmd"] = vw_cmd
+        logger.info(f"vw_cmd: {vw_cmd}")
 
         super().__init__(*args, **kwargs)
 
diff --git a/libs/langchain/langchain/chains/rl_chain/vw_logger.py b/libs/experimental/langchain_experimental/rl_chain/vw_logger.py
similarity index 100%
rename from libs/langchain/langchain/chains/rl_chain/vw_logger.py
rename to libs/experimental/langchain_experimental/rl_chain/vw_logger.py
diff --git a/libs/experimental/poetry.lock b/libs/experimental/poetry.lock
index b0d5b9139af..fc8d7a61b71 100644
--- a/libs/experimental/poetry.lock
+++ b/libs/experimental/poetry.lock
@@ -124,24 +124,24 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "anyio"
-version = "3.7.1"
+version = "4.0.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"},
-    {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"},
+    {file = "anyio-4.0.0-py3-none-any.whl", hash = "sha256:cfdb2b588b9fc25ede96d8db56ed50848b0b649dca3dd1df0b11f683bb9e0b5f"},
+    {file = "anyio-4.0.0.tar.gz", hash = "sha256:f7ed51751b2c2add651e5747c891b47e26d2a21be5d32d9311dfe9692f3e5d7a"},
 ]
 
 [package.dependencies]
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
-test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (<0.22)"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.22)"]
 
 [[package]]
 name = "appnope"
@@ -227,17 +227,17 @@ python-dateutil = ">=2.7.0"
 
 [[package]]
 name = "asttokens"
-version = "2.2.1"
+version = "2.4.0"
 description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = "*"
 files = [
-    {file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"},
-    {file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"},
+    {file = "asttokens-2.4.0-py2.py3-none-any.whl", hash = "sha256:cf8fc9e61a86461aa9fb161a14a0841a03c405fa829ac6b202670b3495d2ce69"},
+    {file = "asttokens-2.4.0.tar.gz", hash = "sha256:2e0171b991b2c959acc6c49318049236844a5da1d65ba2672c4880c1c894834e"},
 ]
 
 [package.dependencies]
-six = "*"
+six = ">=1.12.0"
 
 [package.extras]
 test = ["astroid", "pytest"]
@@ -734,29 +734,33 @@ dev = ["flake8", "hypothesis", "ipython", "mypy (>=0.710)", "portray", "pytest (
 
 [[package]]
 name = "debugpy"
-version = "1.6.7.post1"
+version = "1.7.0"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "debugpy-1.6.7.post1-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:903bd61d5eb433b6c25b48eae5e23821d4c1a19e25c9610205f5aeaccae64e32"},
-    {file = "debugpy-1.6.7.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d16882030860081e7dd5aa619f30dec3c2f9a421e69861125f83cc372c94e57d"},
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-    {file = "debugpy-1.6.7.post1-cp310-cp310-win_amd64.whl", hash = "sha256:85969d864c45f70c3996067cfa76a319bae749b04171f2cdeceebe4add316155"},
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+    {file = "debugpy-1.7.0-cp39-cp39-win32.whl", hash = "sha256:18bca8429d6632e2d3435055416d2d88f0309cc39709f4f6355c8d412cc61f24"},
+    {file = "debugpy-1.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:dc8a12ac8b97ef3d6973c6679a093138c7c9b03eb685f0e253269a195f651559"},
+    {file = "debugpy-1.7.0-py2.py3-none-any.whl", hash = "sha256:f6de2e6f24f62969e0f0ef682d78c98161c4dca29e9fb05df4d2989005005502"},
+    {file = "debugpy-1.7.0.zip", hash = "sha256:676911c710e85567b17172db934a71319ed9d995104610ce23fd74a07f66e6f6"},
 ]
 
 [[package]]
@@ -937,6 +941,41 @@ files = [
     {file = "frozenlist-1.4.0.tar.gz", hash = "sha256:09163bdf0b2907454042edb19f887c6d33806adc71fbd54afc14908bfdc22251"},
 ]
 
+[[package]]
+name = "fsspec"
+version = "2023.9.0"
+description = "File-system specification"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "fsspec-2023.9.0-py3-none-any.whl", hash = "sha256:d55b9ab2a4c1f2b759888ae9f93e40c2aa72c0808132e87e282b549f9e6c4254"},
+    {file = "fsspec-2023.9.0.tar.gz", hash = "sha256:4dbf0fefee035b7c6d3bbbe6bc99b2f201f40d4dca95b67c2b719be77bcd917f"},
+]
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+devel = ["pytest", "pytest-cov"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+tqdm = ["tqdm"]
+
 [[package]]
 name = "greenlet"
 version = "2.0.2"
@@ -1010,6 +1049,39 @@ files = [
 docs = ["Sphinx", "docutils (<0.18)"]
 test = ["objgraph", "psutil"]
 
+[[package]]
+name = "huggingface-hub"
+version = "0.17.0"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = true
+python-versions = ">=3.8.0"
+files = [
+    {file = "huggingface_hub-0.17.0-py3-none-any.whl", hash = "sha256:8111ef89ebf5514154b4e929662f57fc43818d06c95dabdfa4c77f9087383172"},
+    {file = "huggingface_hub-0.17.0.tar.gz", hash = "sha256:a048c64e0f651c32afe41a1818bf2cd47de902ff65dfba395ff71b999d9d4655"},
+]
+
+[package.dependencies]
+filelock = "*"
+fsspec = "*"
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)", "watchdog"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic (<2.0)"]
+quality = ["black (==23.7)", "mypy (==1.5.1)", "ruff (>=0.0.241)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["torch"]
+typing = ["pydantic (<2.0)", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -1071,13 +1143,13 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.25.1"
+version = "6.25.2"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipykernel-6.25.1-py3-none-any.whl", hash = "sha256:c8a2430b357073b37c76c21c52184db42f6b4b0e438e1eb7df3c4440d120497c"},
-    {file = "ipykernel-6.25.1.tar.gz", hash = "sha256:050391364c0977e768e354bdb60cbbfbee7cbb943b1af1618382021136ffd42f"},
+    {file = "ipykernel-6.25.2-py3-none-any.whl", hash = "sha256:2e2ee359baba19f10251b99415bb39de1e97d04e1fab385646f24f0596510b77"},
+    {file = "ipykernel-6.25.2.tar.gz", hash = "sha256:f468ddd1f17acb48c8ce67fcfa49ba6d46d4f9ac0438c1f441be7c3d1372230b"},
 ]
 
 [package.dependencies]
@@ -1223,6 +1295,17 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "joblib"
+version = "1.3.2"
+description = "Lightweight pipelining with Python functions"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
+    {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
+]
+
 [[package]]
 name = "json5"
 version = "0.9.14"
@@ -1245,6 +1328,7 @@ optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
 files = [
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+    {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
 ]
 
 [[package]]
@@ -1315,13 +1399,13 @@ qtconsole = "*"
 
 [[package]]
 name = "jupyter-client"
-version = "8.3.0"
+version = "8.3.1"
 description = "Jupyter protocol implementation and client libraries"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_client-8.3.0-py3-none-any.whl", hash = "sha256:7441af0c0672edc5d28035e92ba5e32fadcfa8a4e608a434c228836a89df6158"},
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+    {file = "jupyter_client-8.3.1-py3-none-any.whl", hash = "sha256:5eb9f55eb0650e81de6b7e34308d8b92d04fe4ec41cd8193a913979e33d8e1a5"},
+    {file = "jupyter_client-8.3.1.tar.gz", hash = "sha256:60294b2d5b869356c893f57b1a877ea6510d60d45cf4b38057f1672d85699ac9"},
 ]
 
 [package.dependencies]
@@ -1422,13 +1506,13 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.7.2"
+version = "2.7.3"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "jupyter_server-2.7.3-py3-none-any.whl", hash = "sha256:8e4b90380b59d7a1e31086c4692231f2a2ea4cb269f5516e60aba72ce8317fc9"},
+    {file = "jupyter_server-2.7.3.tar.gz", hash = "sha256:d4916c8581c4ebbc534cebdaa8eca2478d9f3bfdd88eae29fcab0120eac57649"},
 ]
 
 [package.dependencies]
@@ -1742,6 +1826,23 @@ files = [
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 ]
 
+[[package]]
+name = "mpmath"
+version = "1.3.0"
+description = "Python library for arbitrary-precision floating-point arithmetic"
+optional = true
+python-versions = "*"
+files = [
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+    {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
+]
+
+[package.extras]
+develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
+docs = ["sphinx"]
+gmpy = ["gmpy2 (>=2.1.0a4)"]
+tests = ["pytest (>=4.6)"]
+
 [[package]]
 name = "multidict"
 version = "6.0.4"
@@ -1947,13 +2048,13 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=
 
 [[package]]
 name = "nbconvert"
-version = "7.7.4"
+version = "7.8.0"
 description = "Converting Jupyter Notebooks"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "nbconvert-7.8.0-py3-none-any.whl", hash = "sha256:aec605e051fa682ccc7934ccc338ba1e8b626cfadbab0db592106b630f63f0f2"},
+    {file = "nbconvert-7.8.0.tar.gz", hash = "sha256:f5bc15a1247e14dd41ceef0c0a3bc70020e016576eb0578da62f1c5b4f950479"},
 ]
 
 [package.dependencies]
@@ -2015,19 +2116,61 @@ files = [
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 ]
 
+[[package]]
+name = "networkx"
+version = "3.1"
+description = "Python package for creating and manipulating graphs and networks"
+optional = true
+python-versions = ">=3.8"
+files = [
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+    {file = "networkx-3.1.tar.gz", hash = "sha256:de346335408f84de0eada6ff9fafafff9bcda11f0a0dfaa931133debb146ab61"},
+]
+
+[package.extras]
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+developer = ["mypy (>=1.1)", "pre-commit (>=3.2)"]
+doc = ["nb2plots (>=0.6)", "numpydoc (>=1.5)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.13)", "sphinx (>=6.1)", "sphinx-gallery (>=0.12)", "texext (>=0.6.7)"]
+extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.10)", "sympy (>=1.10)"]
+test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
+
+[[package]]
+name = "nltk"
+version = "3.8.1"
+description = "Natural Language Toolkit"
+optional = true
+python-versions = ">=3.7"
+files = [
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+[package.dependencies]
+click = "*"
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+regex = ">=2021.8.3"
+tqdm = "*"
+
+[package.extras]
+all = ["matplotlib", "numpy", "pyparsing", "python-crfsuite", "requests", "scikit-learn", "scipy", "twython"]
+corenlp = ["requests"]
+machine-learning = ["numpy", "python-crfsuite", "scikit-learn", "scipy"]
+plot = ["matplotlib"]
+tgrep = ["pyparsing"]
+twitter = ["twython"]
+
 [[package]]
 name = "notebook"
-version = "7.0.2"
+version = "7.0.3"
 description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "notebook-7.0.3-py3-none-any.whl", hash = "sha256:786ab2e3287c068667adce3029b540dd18fc5d23f49181b4b4ee4f6b48a7ca81"},
+    {file = "notebook-7.0.3.tar.gz", hash = "sha256:07f3c5062fd0e6e69864437a0347abc485d991aae87a92c47d659699f571b729"},
 ]
 
 [package.dependencies]
-importlib-resources = {version = ">=5.0", markers = "python_version < \"3.9\""}
 jupyter-server = ">=2.4.0,<3"
 jupyterlab = ">=4.0.2,<5"
 jupyterlab-server = ">=2.22.1,<3"
@@ -2037,7 +2180,7 @@ tornado = ">=6.2.0"
 [package.extras]
 dev = ["hatch", "pre-commit"]
 docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
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+test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.22.1,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"]
 
 [[package]]
 name = "notebook-shim"
@@ -2171,6 +2314,73 @@ files = [
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 ]
 
+[[package]]
+name = "pandas"
+version = "2.0.3"
+description = "Powerful data structures for data analysis, time series, and statistics"
+optional = true
+python-versions = ">=3.8"
+files = [
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 version = "1.5.0"
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+
 [[package]]
 name = "pkgutil-resolve-name"
 version = "1.3.10"
@@ -2829,13 +3108,13 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "qtconsole"
-version = "5.4.3"
+version = "5.4.4"
 description = "Jupyter Qt console"
 optional = false
 python-versions = ">= 3.7"
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 [package.dependencies]
@@ -2846,7 +3125,7 @@ jupyter-core = "*"
 packaging = "*"
 pygments = "*"
 pyzmq = ">=17.1"
-qtpy = ">=2.0.1"
+qtpy = ">=2.4.0"
 traitlets = "<5.2.1 || >5.2.1,<5.2.2 || >5.2.2"
 
 [package.extras]
@@ -2855,13 +3134,13 @@ test = ["flaky", "pytest", "pytest-qt"]
 
 [[package]]
 name = "qtpy"
-version = "2.3.1"
+version = "2.4.0"
 description = "Provides an abstraction layer on top of the various Qt bindings (PyQt5/6 and PySide2/6)."
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 ]
 
 [package.dependencies]
@@ -3045,108 +3324,108 @@ files = [
 
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 [[package]]
 name = "send2trash"
 version = "1.8.2"
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 objc = ["pyobjc-framework-Cocoa"]
 win32 = ["pywin32"]
 
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+
 [[package]]
 name = "setuptools"
 version = "67.8.0"
@@ -3252,13 +3766,13 @@ files = [
 
 [[package]]
 name = "soupsieve"
-version = "2.4.1"
+version = "2.5"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
-python-versions = ">=3.7"
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 files = [
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 ]
 
 [[package]]
@@ -3507,6 +4021,20 @@ pure-eval = "*"
 [package.extras]
 tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
+[[package]]
+name = "sympy"
+version = "1.12"
+description = "Computer algebra system (CAS) in Python"
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@@ -3619,6 +4147,17 @@ mxnet = ["mxnet (>=1.5.1,<1.6.0)"]
 tensorflow = ["tensorflow (>=2.0.0,<2.6.0)"]
 torch = ["torch (>=1.6.0)"]
 
+[[package]]
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+version = "3.2.0"
+description = "threadpoolctl"
+optional = true
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@@ -3654,6 +4193,60 @@ idna = "*"
 requests = ">=2.1.0"
 requests-file = ">=1.4"
 
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+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -3665,6 +4258,83 @@ files = [
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 version = "6.3.3"
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 test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
 
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+]
+
+[package.dependencies]
+filelock = "*"
+huggingface-hub = ">=0.15.1,<1.0"
+numpy = ">=1.17"
+packaging = ">=20.0"
+pyyaml = ">=5.1"
+regex = "!=2019.12.17"
+requests = "*"
+safetensors = ">=0.3.1"
+tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14"
+tqdm = ">=4.27"
+
+[package.extras]
+accelerate = ["accelerate (>=0.20.3)"]
+agents = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.10,!=1.12.0)"]
+all = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
+audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+codecarbon = ["codecarbon (==1.2.0)"]
+deepspeed = ["accelerate (>=0.20.3)", "deepspeed (>=0.9.3)"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"]
+dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
+docs-specific = ["hf-doc-builder"]
+fairscale = ["fairscale (>0.3)"]
+flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
+flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+ftfy = ["ftfy"]
+integrations = ["optuna", "ray[tune]", "sigopt"]
+ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
+modelcreation = ["cookiecutter (==1.7.3)"]
+natten = ["natten (>=0.14.6)"]
+onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
+onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
+optuna = ["optuna"]
+quality = ["GitPython (<3.1.19)", "black (>=23.1,<24.0)", "datasets (!=2.5.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (>=0.0.241,<=0.0.259)", "urllib3 (<2.0.0)"]
+ray = ["ray[tune]"]
+retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
+sagemaker = ["sagemaker (>=2.31.0)"]
+sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
+serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"]
+sigopt = ["sigopt"]
+sklearn = ["scikit-learn"]
+speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"]
+tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
+tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
+tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+timm = ["timm"]
+tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
+torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"]
+torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
+torch-vision = ["Pillow (<10.0.0)", "torchvision"]
+torchhub = ["filelock", "huggingface-hub (>=0.15.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
+video = ["av (==9.2.0)", "decord (==0.6.0)"]
+vision = ["Pillow (<10.0.0)"]
+
 [[package]]
 name = "typer"
 version = "0.9.0"
@@ -3778,6 +4517,17 @@ files = [
 mypy-extensions = ">=0.3.0"
 typing-extensions = ">=3.7.4"
 
+[[package]]
+name = "tzdata"
+version = "2023.3"
+description = "Provider of IANA time zone data"
+optional = true
+python-versions = ">=2"
+files = [
+    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
+    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
+]
+
 [[package]]
 name = "uri-template"
 version = "1.3.0"
@@ -3809,6 +4559,33 @@ secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "vowpal-wabbit-next"
+version = "0.6.0"
+description = "Experimental python bindings for VowpalWabbit"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "vowpal-wabbit-next-0.6.0.tar.gz", hash = "sha256:f0381614d99fac6a0f52e995ee0bfc7b681054f397bea7ff08b8a523d5315a54"},
+    {file = "vowpal_wabbit_next-0.6.0-cp310-cp310-macosx_10_13_universal2.whl", hash = "sha256:cfbb831cfe9eb81185aff7cdca437ae17c6d9aca8d74e26c326e3ef4ee8e81e7"},
+    {file = "vowpal_wabbit_next-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d31829778f9c600f5c121f614516ca1bc9ede5d1bc77b1eb3b59b32d9138db9"},
+    {file = "vowpal_wabbit_next-0.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:714347606ab302a2f72870b6ae6dce58de4bec1b489f4bd65d80a8e326e1db8a"},
+    {file = "vowpal_wabbit_next-0.6.0-cp311-cp311-macosx_10_13_universal2.whl", hash = "sha256:3a8482d5c0b9357fdb36b62d659e6b74e93aeab165b910292572a98e91d7a014"},
+    {file = "vowpal_wabbit_next-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e4349099b938102f51fb6fedf035bc1deacb2971cd2a48641ca7d45186efda0"},
+    {file = "vowpal_wabbit_next-0.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:c8f58cdc49f270b1bed6f0fdd7520c8ba1b328de5cd8a2760c0ec70a630de92e"},
+    {file = "vowpal_wabbit_next-0.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8b7052ce7212fd1cae8ffd966e240c814f3c1df08fd612437d48f0f23e7694c"},
+    {file = "vowpal_wabbit_next-0.6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d24d9c380d0e9b41151337c7f9e2a33ec5bfd738fdee9f65c1a40e486234aca3"},
+    {file = "vowpal_wabbit_next-0.6.0-cp38-cp38-macosx_10_13_universal2.whl", hash = "sha256:0d77a8c55249ec9a7f404939ecc6948db0527e522e8a7ae149ec7cd29b3ade04"},
+    {file = "vowpal_wabbit_next-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa2f52f1267fbc26c7757335f9c76a0f00b112971e04c85b8a9bc9e82300597"},
+    {file = "vowpal_wabbit_next-0.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:5d04f91200ecae73196d9f5601853d63afce8c1c8a0d310a608e8ddfa3b190cb"},
+    {file = "vowpal_wabbit_next-0.6.0-cp39-cp39-macosx_10_13_universal2.whl", hash = "sha256:2df4a652729c0db34afd8fb4fc49b0090d6f061e2d49899e5f092fd4c3d23253"},
+    {file = "vowpal_wabbit_next-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c289a260ab759f04903b441701cff66ea74d6c061d966caaba0c65ac12d05528"},
+    {file = "vowpal_wabbit_next-0.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:8d022cab07274f227df159a81bccf034def7dd54ad70392ee98743ffa4953072"},
+]
+
+[package.dependencies]
+numpy = "*"
+
 [[package]]
 name = "wasabi"
 version = "1.1.2"
@@ -3862,13 +4639,13 @@ files = [
 
 [[package]]
 name = "websocket-client"
-version = "1.6.2"
+version = "1.6.3"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "websocket-client-1.6.2.tar.gz", hash = "sha256:53e95c826bf800c4c465f50093a8c4ff091c7327023b10bfaff40cf1ef170eaa"},
-    {file = "websocket_client-1.6.2-py3-none-any.whl", hash = "sha256:ce54f419dfae71f4bdba69ebe65bf7f0a93fe71bc009ad3a010aacc3eebad537"},
+    {file = "websocket-client-1.6.3.tar.gz", hash = "sha256:3aad25d31284266bcfcfd1fd8a743f63282305a364b8d0948a43bd606acc652f"},
+    {file = "websocket_client-1.6.3-py3-none-any.whl", hash = "sha256:6cfc30d051ebabb73a5fa246efdcc14c8fbebbd0330f8984ac3bb6d9edd2ad03"},
 ]
 
 [package.extras]
@@ -3990,9 +4767,9 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.link
 testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [extras]
-extended-testing = ["faker", "presidio-analyzer", "presidio-anonymizer"]
+extended-testing = ["faker", "presidio-analyzer", "presidio-anonymizer", "sentence-transformers", "vowpal-wabbit-next"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "66ac482bd05eb74414210ac28fc1e8dae1a9928a4a1314e1326fada3551aa8ad"
+content-hash = "a392728e7880f0fc679885888dbc69838f6de94607803fec40b4640ae63d02d8"
diff --git a/libs/experimental/pyproject.toml b/libs/experimental/pyproject.toml
index 8e876c392c1..0b7124e460e 100644
--- a/libs/experimental/pyproject.toml
+++ b/libs/experimental/pyproject.toml
@@ -14,6 +14,9 @@ langchain = ">=0.0.239"
 presidio-anonymizer = {version = "^2.2.33", optional = true}
 presidio-analyzer = {version = "^2.2.33", optional = true}
 faker = {version = "^19.3.1", optional = true}
+vowpal-wabbit-next = {version = "0.6.0", optional = true}
+sentence-transformers = {version = "^2", optional = true}
+pandas = {version = "^2.0.1", optional = true}
 
 
 [tool.poetry.group.lint.dependencies]
@@ -42,6 +45,8 @@ extended_testing = [
  "presidio-anonymizer",
  "presidio-analyzer",
  "faker",
+ "vowpal-wabbit-next",
+ "sentence-transformers",
 ]
 
 [tool.ruff]
diff --git a/libs/langchain/tests/unit_tests/chains/rl_chain/test_pick_best_chain_call.py b/libs/experimental/tests/unit_tests/rl_chain/test_pick_best_chain_call.py
similarity index 96%
rename from libs/langchain/tests/unit_tests/chains/rl_chain/test_pick_best_chain_call.py
rename to libs/experimental/tests/unit_tests/rl_chain/test_pick_best_chain_call.py
index 7eb7ca2aeac..6bb0437678e 100644
--- a/libs/langchain/tests/unit_tests/chains/rl_chain/test_pick_best_chain_call.py
+++ b/libs/experimental/tests/unit_tests/rl_chain/test_pick_best_chain_call.py
@@ -3,8 +3,8 @@ from typing import Any, Dict
 import pytest
 from test_utils import MockEncoder, MockEncoderReturnsList
 
-import langchain.chains.rl_chain.base as rl_chain
-import langchain.chains.rl_chain.pick_best_chain as pick_best_chain
+import langchain_experimental.rl_chain.base as rl_chain
+import langchain_experimental.rl_chain.pick_best_chain as pick_best_chain
 from langchain.chat_models import FakeListChatModel
 from langchain.prompts.prompt import PromptTemplate
 
@@ -332,7 +332,7 @@ def test_default_embeddings_mixed_w_explicit_user_embeddings() -> None:
 @pytest.mark.requires("vowpal_wabbit_next", "sentence_transformers")
 def test_default_no_scorer_specified() -> None:
     _, PROMPT = setup()
-    chain_llm = FakeListChatModel(responses=[100])
+    chain_llm = FakeListChatModel(responses=["hey", "100"])
     chain = pick_best_chain.PickBest.from_llm(
         llm=chain_llm,
         prompt=PROMPT,
@@ -345,7 +345,7 @@ def test_default_no_scorer_specified() -> None:
         action=rl_chain.ToSelectFrom(["0", "1", "2"]),
     )
     # chain llm used for both basic prompt and for scoring
-    assert response["response"] == "100"
+    assert response["response"] == "hey"
     selection_metadata = response["selection_metadata"]
     assert selection_metadata.selected.score == 100.0
 
@@ -374,7 +374,7 @@ def test_explicitly_no_scorer() -> None:
 @pytest.mark.requires("vowpal_wabbit_next", "sentence_transformers")
 def test_auto_scorer_with_user_defined_llm() -> None:
     llm, PROMPT = setup()
-    scorer_llm = FakeListChatModel(responses=[300])
+    scorer_llm = FakeListChatModel(responses=["300"])
     chain = pick_best_chain.PickBest.from_llm(
         llm=llm,
         prompt=PROMPT,
@@ -418,8 +418,9 @@ def test_calling_chain_w_reserved_inputs_throws() -> None:
 
 @pytest.mark.requires("vowpal_wabbit_next", "sentence_transformers")
 def test_activate_and_deactivate_scorer() -> None:
-    llm, PROMPT = setup()
-    scorer_llm = FakeListChatModel(responses=[300])
+    _, PROMPT = setup()
+    llm = FakeListChatModel(responses=["hey1", "hey2", "hey3"])
+    scorer_llm = FakeListChatModel(responses=["300", "400"])
     chain = pick_best_chain.PickBest.from_llm(
         llm=llm,
         prompt=PROMPT,
@@ -433,7 +434,7 @@ def test_activate_and_deactivate_scorer() -> None:
         action=pick_best_chain.base.ToSelectFrom(["0", "1", "2"]),
     )
     # chain llm used for both basic prompt and for scoring
-    assert response["response"] == "hey"
+    assert response["response"] == "hey1"
     selection_metadata = response["selection_metadata"]
     assert selection_metadata.selected.score == 300.0
 
@@ -442,7 +443,7 @@ def test_activate_and_deactivate_scorer() -> None:
         User=pick_best_chain.base.BasedOn("Context"),
         action=pick_best_chain.base.ToSelectFrom(["0", "1", "2"]),
     )
-    assert response["response"] == "hey"
+    assert response["response"] == "hey2"
     selection_metadata = response["selection_metadata"]
     assert selection_metadata.selected.score is None
 
@@ -451,6 +452,6 @@ def test_activate_and_deactivate_scorer() -> None:
         User=pick_best_chain.base.BasedOn("Context"),
         action=pick_best_chain.base.ToSelectFrom(["0", "1", "2"]),
     )
-    assert response["response"] == "hey"
+    assert response["response"] == "hey3"
     selection_metadata = response["selection_metadata"]
-    assert selection_metadata.selected.score == 300.0
+    assert selection_metadata.selected.score == 400.0
diff --git a/libs/langchain/tests/unit_tests/chains/rl_chain/test_pick_best_text_embedder.py b/libs/experimental/tests/unit_tests/rl_chain/test_pick_best_text_embedder.py
similarity index 99%
rename from libs/langchain/tests/unit_tests/chains/rl_chain/test_pick_best_text_embedder.py
rename to libs/experimental/tests/unit_tests/rl_chain/test_pick_best_text_embedder.py
index 1fdbdff6444..fafa77e9f49 100644
--- a/libs/langchain/tests/unit_tests/chains/rl_chain/test_pick_best_text_embedder.py
+++ b/libs/experimental/tests/unit_tests/rl_chain/test_pick_best_text_embedder.py
@@ -1,8 +1,8 @@
 import pytest
 from test_utils import MockEncoder
 
-import langchain.chains.rl_chain.base as rl_chain
-import langchain.chains.rl_chain.pick_best_chain as pick_best_chain
+import langchain_experimental.rl_chain.base as rl_chain
+import langchain_experimental.rl_chain.pick_best_chain as pick_best_chain
 
 encoded_keyword = "[encoded]"
 
diff --git a/libs/langchain/tests/unit_tests/chains/rl_chain/test_rl_chain_base_embedder.py b/libs/experimental/tests/unit_tests/rl_chain/test_rl_chain_base_embedder.py
similarity index 99%
rename from libs/langchain/tests/unit_tests/chains/rl_chain/test_rl_chain_base_embedder.py
rename to libs/experimental/tests/unit_tests/rl_chain/test_rl_chain_base_embedder.py
index 1928eb26c60..7e8b23857f2 100644
--- a/libs/langchain/tests/unit_tests/chains/rl_chain/test_rl_chain_base_embedder.py
+++ b/libs/experimental/tests/unit_tests/rl_chain/test_rl_chain_base_embedder.py
@@ -3,7 +3,7 @@ from typing import List, Union
 import pytest
 from test_utils import MockEncoder
 
-import langchain.chains.rl_chain.base as base
+import langchain_experimental.rl_chain.base as base
 
 encoded_keyword = "[encoded]"
 
diff --git a/libs/langchain/tests/unit_tests/chains/rl_chain/test_utils.py b/libs/experimental/tests/unit_tests/rl_chain/test_utils.py
similarity index 100%
rename from libs/langchain/tests/unit_tests/chains/rl_chain/test_utils.py
rename to libs/experimental/tests/unit_tests/rl_chain/test_utils.py
diff --git a/libs/langchain/poetry.lock b/libs/langchain/poetry.lock
index b3ad397a7de..17756f0f68f 100644
--- a/libs/langchain/poetry.lock
+++ b/libs/langchain/poetry.lock
@@ -9800,33 +9800,6 @@ urllib3 = {version = "<2", markers = "python_version < \"3.10\""}
 wrapt = "*"
 yarl = "*"
 
-[[package]]
-name = "vowpal-wabbit-next"
-version = "0.6.0"
-description = "Experimental python bindings for VowpalWabbit"
-optional = true
-python-versions = ">=3.7"
-files = [
-    {file = "vowpal-wabbit-next-0.6.0.tar.gz", hash = "sha256:f0381614d99fac6a0f52e995ee0bfc7b681054f397bea7ff08b8a523d5315a54"},
-    {file = "vowpal_wabbit_next-0.6.0-cp310-cp310-macosx_10_13_universal2.whl", hash = "sha256:cfbb831cfe9eb81185aff7cdca437ae17c6d9aca8d74e26c326e3ef4ee8e81e7"},
-    {file = "vowpal_wabbit_next-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d31829778f9c600f5c121f614516ca1bc9ede5d1bc77b1eb3b59b32d9138db9"},
-    {file = "vowpal_wabbit_next-0.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:714347606ab302a2f72870b6ae6dce58de4bec1b489f4bd65d80a8e326e1db8a"},
-    {file = "vowpal_wabbit_next-0.6.0-cp311-cp311-macosx_10_13_universal2.whl", hash = "sha256:3a8482d5c0b9357fdb36b62d659e6b74e93aeab165b910292572a98e91d7a014"},
-    {file = "vowpal_wabbit_next-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e4349099b938102f51fb6fedf035bc1deacb2971cd2a48641ca7d45186efda0"},
-    {file = "vowpal_wabbit_next-0.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:c8f58cdc49f270b1bed6f0fdd7520c8ba1b328de5cd8a2760c0ec70a630de92e"},
-    {file = "vowpal_wabbit_next-0.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8b7052ce7212fd1cae8ffd966e240c814f3c1df08fd612437d48f0f23e7694c"},
-    {file = "vowpal_wabbit_next-0.6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d24d9c380d0e9b41151337c7f9e2a33ec5bfd738fdee9f65c1a40e486234aca3"},
-    {file = "vowpal_wabbit_next-0.6.0-cp38-cp38-macosx_10_13_universal2.whl", hash = "sha256:0d77a8c55249ec9a7f404939ecc6948db0527e522e8a7ae149ec7cd29b3ade04"},
-    {file = "vowpal_wabbit_next-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa2f52f1267fbc26c7757335f9c76a0f00b112971e04c85b8a9bc9e82300597"},
-    {file = "vowpal_wabbit_next-0.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:5d04f91200ecae73196d9f5601853d63afce8c1c8a0d310a608e8ddfa3b190cb"},
-    {file = "vowpal_wabbit_next-0.6.0-cp39-cp39-macosx_10_13_universal2.whl", hash = "sha256:2df4a652729c0db34afd8fb4fc49b0090d6f061e2d49899e5f092fd4c3d23253"},
-    {file = "vowpal_wabbit_next-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c289a260ab759f04903b441701cff66ea74d6c061d966caaba0c65ac12d05528"},
-    {file = "vowpal_wabbit_next-0.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:8d022cab07274f227df159a81bccf034def7dd54ad70392ee98743ffa4953072"},
-]
-
-[package.dependencies]
-numpy = "*"
-
 [[package]]
 name = "watchdog"
 version = "3.0.0"
@@ -10509,4 +10482,4 @@ text-helpers = ["chardet"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "3707ffe51bf8aca6cca6512f9d3c358facbbc36a17a00ee9c7d513c557eddddb"
+content-hash = "b42a2fe9986973ebfe9804276429dff258c1124ef2df5985fa56ecd0cde7e7e1"
diff --git a/libs/langchain/pyproject.toml b/libs/langchain/pyproject.toml
index 7b511eb991e..e9df12a9911 100644
--- a/libs/langchain/pyproject.toml
+++ b/libs/langchain/pyproject.toml
@@ -129,7 +129,6 @@ markdownify = {version = "^0.11.6", optional = true}
 assemblyai = {version = "^0.17.0", optional = true}
 dashvector = {version = "^1.0.1", optional = true}
 sqlite-vss = {version = "^0.1.2", optional = true}
-vowpal-wabbit-next = {version = "0.6.0", optional = true}
 
 
 [tool.poetry.group.test.dependencies]
@@ -343,11 +342,9 @@ extended_testing = [
  "xmltodict",
  "faiss-cpu",
  "openapi-schema-pydantic",
- "sentence-transformers",
  "markdownify",
  "dashvector",
  "sqlite-vss",
- "vowpal-wabbit-next",
 ]
 
 [tool.ruff]