diff --git a/memgpt/embeddings.py b/memgpt/embeddings.py
index e0dbadd6..cae4167f 100644
--- a/memgpt/embeddings.py
+++ b/memgpt/embeddings.py
@@ -134,7 +134,7 @@ class EmbeddingEndpoint:
 def default_embedding_model():
     # default to hugging face model running local
     # warning: this is a terrible model
-    from llama_index.embeddings import HuggingFaceEmbedding
+    from llama_index.embeddings.huggingface import HuggingFaceEmbedding
 
     os.environ["TOKENIZERS_PARALLELISM"] = "False"
     model = "BAAI/bge-small-en-v1.5"
diff --git a/poetry.lock b/poetry.lock
index 8005e5b8..58ee1ae5 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
@@ -1347,36 +1347,38 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.17.3"
+version = "0.21.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.17.3-py3-none-any.whl", hash = "sha256:545eb3665f6ac587add946e73984148f2ea5c7877eac2e845549730570c1933a"},
-    {file = "huggingface_hub-0.17.3.tar.gz", hash = "sha256:40439632b211311f788964602bf8b0d9d6b7a2314fba4e8d67b2ce3ecea0e3fd"},
+    {file = "huggingface_hub-0.21.3-py3-none-any.whl", hash = "sha256:b183144336fdf2810a8c109822e0bb6ef1fd61c65da6fb60e8c3f658b7144016"},
+    {file = "huggingface_hub-0.21.3.tar.gz", hash = "sha256:26a15b604e4fc7bad37c467b76456543ec849386cbca9cd7e1e135f53e500423"},
 ]
 
 [package.dependencies]
+aiohttp = {version = "*", optional = true, markers = "extra == \"inference\""}
 filelock = "*"
-fsspec = "*"
+fsspec = ">=2023.5.0"
 packaging = ">=20.9"
+pydantic = {version = ">1.1,<3.0", optional = true, markers = "python_version > \"3.8\" and extra == \"inference\""}
 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)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "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"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 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)"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
 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"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "humanfriendly"
@@ -1521,7 +1523,7 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 name = "jinja2"
 version = "3.1.3"
 description = "A very fast and expressive template engine."
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
@@ -1687,6 +1689,23 @@ local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1.
 postgres = ["asyncpg (>=0.28.0,<0.29.0)", "pgvector (>=0.1.0,<0.2.0)", "psycopg2-binary (>=2.9.9,<3.0.0)"]
 query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn", "spacy (>=3.7.1,<4.0.0)"]
 
+[[package]]
+name = "llama-index-embeddings-huggingface"
+version = "0.1.4"
+description = "llama-index embeddings huggingface integration"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
+    {file = "llama_index_embeddings_huggingface-0.1.4-py3-none-any.whl", hash = "sha256:9c80539f3cbbd7191c219e2cda154b1a7151aa912196bc537c16f40e18e4187c"},
+    {file = "llama_index_embeddings_huggingface-0.1.4.tar.gz", hash = "sha256:042d249d91039bc4a531711c0c81ebf4f5c921de98629d2d342979bc4511a639"},
+]
+
+[package.dependencies]
+huggingface-hub = {version = ">=0.19.0", extras = ["inference"]}
+llama-index-core = ">=0.10.1,<0.11.0"
+torch = ">=2.1.2,<3.0.0"
+transformers = ">=4.37.0,<5.0.0"
+
 [[package]]
 name = "llama-index-embeddings-openai"
 version = "0.1.6"
@@ -1905,7 +1924,7 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 name = "markupsafe"
 version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"},
@@ -2390,7 +2409,7 @@ files = [
 name = "nvidia-cublas-cu12"
 version = "12.1.3.1"
 description = "CUBLAS native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"},
@@ -2401,7 +2420,7 @@ files = [
 name = "nvidia-cuda-cupti-cu12"
 version = "12.1.105"
 description = "CUDA profiling tools runtime libs."
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
@@ -2412,7 +2431,7 @@ files = [
 name = "nvidia-cuda-nvrtc-cu12"
 version = "12.1.105"
 description = "NVRTC native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
@@ -2423,7 +2442,7 @@ files = [
 name = "nvidia-cuda-runtime-cu12"
 version = "12.1.105"
 description = "CUDA Runtime native Libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
@@ -2434,7 +2453,7 @@ files = [
 name = "nvidia-cudnn-cu12"
 version = "8.9.2.26"
 description = "cuDNN runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"},
@@ -2447,7 +2466,7 @@ nvidia-cublas-cu12 = "*"
 name = "nvidia-cufft-cu12"
 version = "11.0.2.54"
 description = "CUFFT native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
@@ -2458,7 +2477,7 @@ files = [
 name = "nvidia-curand-cu12"
 version = "10.3.2.106"
 description = "CURAND native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
@@ -2469,7 +2488,7 @@ files = [
 name = "nvidia-cusolver-cu12"
 version = "11.4.5.107"
 description = "CUDA solver native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
@@ -2485,7 +2504,7 @@ nvidia-nvjitlink-cu12 = "*"
 name = "nvidia-cusparse-cu12"
 version = "12.1.0.106"
 description = "CUSPARSE native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
@@ -2499,7 +2518,7 @@ nvidia-nvjitlink-cu12 = "*"
 name = "nvidia-nccl-cu12"
 version = "2.19.3"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"},
@@ -2509,7 +2528,7 @@ files = [
 name = "nvidia-nvjitlink-cu12"
 version = "12.3.101"
 description = "Nvidia JIT LTO Library"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux1_x86_64.whl", hash = "sha256:64335a8088e2b9d196ae8665430bc6a2b7e6ef2eb877a9c735c804bd4ff6467c"},
@@ -2520,7 +2539,7 @@ files = [
 name = "nvidia-nvtx-cu12"
 version = "12.1.105"
 description = "NVIDIA Tools Extension"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
@@ -4076,7 +4095,7 @@ pyasn1 = ">=0.1.3"
 name = "safetensors"
 version = "0.4.2"
 description = ""
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "safetensors-0.4.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:69d8bb8384dc2cb5b72c36c4d6980771b293d1a1377b378763f5e37b6bb8d133"},
@@ -4551,113 +4570,125 @@ files = [
 
 [[package]]
 name = "tokenizers"
-version = "0.14.1"
+version = "0.15.2"
 description = ""
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "tokenizers-0.14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:638abedb39375f0ddce2de536fc9c976639b2d1b7202d715c2e7a25f0ebfd091"},
-    {file = "tokenizers-0.14.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:901635098565773a44f74068639d265f19deaaca47ea77b428fd9bee13a61d87"},
-    {file = "tokenizers-0.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:72e95184bf5b9a4c08153ed07c16c130ff174835c9a1e6ee2b311be758c8b3ef"},
-    {file = "tokenizers-0.14.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ebefbc26ccff5e96ae7d40772172e7310174f9aa3683d2870a1882313ec3a4d5"},
-    {file = "tokenizers-0.14.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d3a6330c9f1deda22873e8b4ac849cc06d3ff33d60b3217ac0bb397b541e1509"},
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+    {file = "tokenizers-0.15.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:7ca22bd897537a0080521445d91a58886c8c04084a6a19e6c78c586e0cfa92a5"},
+    {file = "tokenizers-0.15.2.tar.gz", hash = "sha256:e6e9c6e019dd5484be5beafc775ae6c925f4c69a3487040ed09b45e13df2cb91"},
 ]
 
 [package.dependencies]
-huggingface_hub = ">=0.16.4,<0.18"
+huggingface_hub = ">=0.16.4,<1.0"
 
 [package.extras]
 dev = ["tokenizers[testing]"]
@@ -4679,7 +4710,7 @@ files = [
 name = "torch"
 version = "2.2.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
-optional = true
+optional = false
 python-versions = ">=3.8.0"
 files = [
     {file = "torch-2.2.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:8d3bad336dd2c93c6bcb3268e8e9876185bda50ebde325ef211fb565c7d15273"},
@@ -4770,78 +4801,77 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "transformers"
-version = "4.34.1"
+version = "4.38.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
-optional = true
+optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "transformers-4.34.1-py3-none-any.whl", hash = "sha256:d06ac09151d7b845e4a4acd6b143a591d946031ee67b4cbb20693b241920ffc0"},
-    {file = "transformers-4.34.1.tar.gz", hash = "sha256:1d0258d5a18063b66005bbe1e3276ec5943d9ab4ab47f020db1fd485cc40ea22"},
+    {file = "transformers-4.38.2-py3-none-any.whl", hash = "sha256:c4029cb9f01b3dd335e52f364c52d2b37c65b4c78e02e6a08b1919c5c928573e"},
+    {file = "transformers-4.38.2.tar.gz", hash = "sha256:c5fc7ad682b8a50a48b2a4c05d4ea2de5567adb1bdd00053619dbe5960857dd5"},
 ]
 
 [package.dependencies]
 filelock = "*"
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 numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
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-tokenizers = ">=0.14,<0.15"
+safetensors = ">=0.4.1"
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 tqdm = ">=4.27"
 
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 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-torch-vision = ["Pillow (<10.0.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.16.4,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
+torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
+torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
-vision = ["Pillow (<10.0.0)"]
+vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
 name = "triton"
 version = "2.2.0"
 description = "A language and compiler for custom Deep Learning operations"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"},
@@ -5540,11 +5570,10 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [extras]
 autogen = ["pyautogen"]
 dev = ["black", "datasets", "pexpect", "pre-commit", "pyright", "pytest", "pytest-asyncio", "pytest-order"]
-local = ["huggingface-hub", "torch", "transformers"]
 postgres = ["pg8000", "pgvector"]
 server = ["fastapi", "uvicorn", "websockets"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "<3.12,>=3.10"
-content-hash = "22ed7617b3b586152c81e359b366192a9f1708265933b8ed2dc3ad041b798264"
+content-hash = "3e0899cf23201a1c58ac2169f50b331a8f2cad7ba3cfa0f96a7de2e528d7fa49"
diff --git a/pyproject.toml b/pyproject.toml
index 19bc9407..e42200c4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,11 +26,8 @@ setuptools = "^68.2.2"
 datasets = { version = "^2.14.6", optional = true}
 prettytable = "^3.9.0"
 pgvector = { version = "^0.2.3", optional = true }
-huggingface-hub = { version = "0.17.3", optional = true }
-transformers = { version = "4.34.1", optional = true }
 pre-commit = {version = "^3.5.0", optional = true }
 pg8000 = {version = "^1.30.3", optional = true}
-torch = {version = ">=2.0.0, !=2.0.1, !=2.1.0", optional = true}
 websockets = {version = "^12.0", optional = true}
 docstring-parser = "^0.15"
 lancedb = "^0.3.3"
@@ -54,12 +51,12 @@ pexpect = {version = "^4.9.0", optional = true}
 pyright = {version = "^1.1.347", optional = true}
 llama-index = "^0.10.6"
 llama-index-embeddings-openai = "^0.1.1"
+llama-index-embeddings-huggingface = "^0.1.4"
 python-box = "^7.1.1"
 pytest-order = {version = "^1.2.0", optional = true}
 sqlmodel = "^0.0.16"
 
 [tool.poetry.extras]
-local = ["torch", "huggingface-hub", "transformers"]
 postgres = ["pgvector", "pg8000"]
 dev = ["pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "datasets", "pyright", "pytest-order"]
 server = ["websockets", "fastapi", "uvicorn"]