diff --git a/server/embedding_generation/local.py b/server/embedding_generation/local.py
new file mode 100644
index 0000000..468126a
--- /dev/null
+++ b/server/embedding_generation/local.py
@@ -0,0 +1,11 @@
+from embedding_generation.models import EmbeddingGenerator, EmbeddingModel
+from sentence_transformers import SentenceTransformer
+
+
+class SentenceTransformerEmbedding(EmbeddingGenerator):
+    def __init__(self, model: EmbeddingModel):
+        self.model_instance = SentenceTransformer(model.name)
+        self.dimensions = model.dimensions
+
+    def encode(self, text_segments: list[str]) -> list[list[float]]:
+        return self.model_instance.encode(text_segments)
diff --git a/server/embedding_generation/models.py b/server/embedding_generation/models.py
new file mode 100644
index 0000000..067a85f
--- /dev/null
+++ b/server/embedding_generation/models.py
@@ -0,0 +1,18 @@
+from collections import namedtuple
+from typing import Protocol
+
+EmbeddingModel = namedtuple('EmbeddingModel', 'name dimensions')
+
+
+class EmbeddingGenerator(Protocol):
+    dimensions: int
+
+    def __init__(self, model: EmbeddingModel) -> None:
+        ...
+
+    def encode(self, text_segments: list[str]) -> list[list[float]]:
+        ...
+
+ALL_MINILM_L6_V2 = EmbeddingModel("sentence-transformers/all-MiniLM-L6-v2", 384)
+
+
diff --git a/server/embedding_generation/services.py b/server/embedding_generation/services.py
new file mode 100644
index 0000000..82ec26e
--- /dev/null
+++ b/server/embedding_generation/services.py
@@ -0,0 +1,17 @@
+from embedding_generation.models import EmbeddingGenerator, EmbeddingModel
+
+import requests
+
+
+class HuggingfaceInferenceEndpoingEmbedding(EmbeddingGenerator):
+    def __init__(self, model: EmbeddingModel, hf_token):
+        self.url = f'https://api-inference.huggingface.co/pipeline/feature-extraction/{model.name}'
+        self.headers = {"Authorization": f"Bearer {hf_token}"}
+        self.dimensions = model.dimensions
+
+    def query(self, text_segments):
+        response = requests.post(self.url, headers=self.headers, json={"inputs": text_segments, "options":{"wait_for_model":True}})
+        return response.json()
+
+    def encode(self, text_segments: list[str]) -> list[list[float]]:
+        return self.query(text_segments)
diff --git a/server/llm/llm.py b/server/llm/llm.py
index 3a525cd..2f03afa 100644
--- a/server/llm/llm.py
+++ b/server/llm/llm.py
@@ -1,20 +1,13 @@
 from models.models import Document as PsychicDocument, LLM
-from typing import List, Any, Optional
-import uuid
-from langchain.embeddings.huggingface import HuggingFaceEmbeddings
+from typing import List, Optional
 from langchain.llms import GPT4All, LlamaCpp
 import os
 import requests
-import json
 from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
 from langchain.chains.question_answering import load_qa_chain
 from langchain.docstore.document import Document
 import openai
 
-embeddings = HuggingFaceEmbeddings(
-    model_name=os.environ.get("embeddings_model") or "all-MiniLM-L6-v2"
-)
-embeddings_dimension = 384
 base_url = os.environ.get("LLM_URL") or "http://localhost"
 
 
diff --git a/server/models/models.py b/server/models/models.py
index 0bc941f..5cff412 100644
--- a/server/models/models.py
+++ b/server/models/models.py
@@ -29,7 +29,7 @@ async def query(self, query: str) -> List[Document]:
 
 class LLM(BaseModel, ABC):
     @abstractmethod
-    def ask(self, documents: List[str], question: str) -> List[List[float]]:
+    def ask(self, documents: List[str], question: str) -> str: 
         pass
 
 
diff --git a/server/poetry.lock b/server/poetry.lock
index 4012da4..c3b5306 100644
--- a/server/poetry.lock
+++ b/server/poetry.lock
@@ -2,98 +2,98 @@
 
 [[package]]
 name = "aiohttp"
-version = "3.8.4"
+version = "3.8.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.6"
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+    {file = "aiohttp-3.8.5.tar.gz", hash = "sha256:b9552ec52cc147dbf1944ac7ac98af7602e51ea2dcd076ed194ca3c0d1c7d0bc"},
 ]
 
 [package.dependencies]
@@ -145,13 +145,13 @@ trio = ["trio (<0.22)"]
 
 [[package]]
 name = "async-timeout"
-version = "4.0.2"
+version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "async-timeout-4.0.2.tar.gz", hash = "sha256:2163e1640ddb52b7a8c80d0a67a08587e5d245cc9c553a74a847056bc2976b15"},
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+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
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 ]
 
 [[package]]
@@ -172,6 +172,20 @@ docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-
 tests = ["attrs[tests-no-zope]", "zope-interface"]
 tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 
+[[package]]
+name = "authlib"
+version = "1.2.1"
+description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
+optional = false
+python-versions = "*"
+files = [
+    {file = "Authlib-1.2.1-py2.py3-none-any.whl", hash = "sha256:c88984ea00149a90e3537c964327da930779afa4564e354edfd98410bea01911"},
+    {file = "Authlib-1.2.1.tar.gz", hash = "sha256:421f7c6b468d907ca2d9afede256f068f87e34d23dd221c07d13d4c234726afb"},
+]
+
+[package.dependencies]
+cryptography = ">=3.2"
+
 [[package]]
 name = "bleach"
 version = "6.0.0"
@@ -215,33 +229,34 @@ virtualenv = ["virtualenv (>=20.0.35)"]
 
 [[package]]
 name = "cachecontrol"
-version = "0.12.14"
+version = "0.13.1"
 description = "httplib2 caching for requests"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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-    {file = "CacheControl-0.12.14.tar.gz", hash = "sha256:d1087f45781c0e00616479bfd282c78504371ca71da017b49df9f5365a95feba"},
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+    {file = "cachecontrol-0.13.1.tar.gz", hash = "sha256:f012366b79d2243a6118309ce73151bf52a38d4a5dac8ea57f09bd29087e506b"},
 ]
 
 [package.dependencies]
-lockfile = {version = ">=0.9", optional = true, markers = "extra == \"filecache\""}
+filelock = {version = ">=3.8.0", optional = true, markers = "extra == \"filecache\""}
 msgpack = ">=0.5.2"
-requests = "*"
+requests = ">=2.16.0"
 
 [package.extras]
-filecache = ["lockfile (>=0.9)"]
+dev = ["CacheControl[filecache,redis]", "black", "build", "cherrypy", "mypy", "pytest", "pytest-cov", "sphinx", "tox", "types-redis", "types-requests"]
+filecache = ["filelock (>=3.8.0)"]
 redis = ["redis (>=2.10.5)"]
 
 [[package]]
 name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
@@ -421,13 +436,13 @@ rapidfuzz = ">=2.2.0,<3.0.0"
 
 [[package]]
 name = "click"
-version = "8.1.5"
+version = "8.1.7"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
 ]
 
 [package.dependencies]
@@ -516,13 +531,13 @@ test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "dataclasses-json"
-version = "0.5.12"
+version = "0.5.14"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
-python-versions = ">=3.7,<3.12"
+python-versions = ">=3.7,<3.13"
 files = [
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 ]
 
 [package.dependencies]
@@ -652,13 +667,13 @@ pgp = ["gpg"]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.1.2"
+version = "1.1.3"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -850,14 +865,14 @@ pydantic = ">=1.10.0,<2.0.0"
 
 [[package]]
 name = "gpt4all"
-version = "1.0.5"
+version = "1.0.8"
 description = "Python bindings for GPT4All"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -942,117 +957,117 @@ test = ["objgraph", "psutil"]
 
 [[package]]
 name = "grpcio"
-version = "1.56.0"
+version = "1.57.0"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.7"
 files = [
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+]
+
+[package.dependencies]
+grpcio = ">=1.57.0"
 protobuf = ">=4.21.6,<5.0dev"
 setuptools = "*"
 
@@ -1093,27 +1108,6 @@ files = [
     {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
 ]
 
-[[package]]
-name = "html5lib"
-version = "1.1"
-description = "HTML parser based on the WHATWG HTML specification"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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-
-[package.dependencies]
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-webencodings = "*"
-
-[package.extras]
-all = ["chardet (>=2.2)", "genshi", "lxml"]
-chardet = ["chardet (>=2.2)"]
-genshi = ["genshi"]
-lxml = ["lxml"]
-
 [[package]]
 name = "httpcore"
 version = "0.16.3"
@@ -1306,59 +1300,43 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.3.1"
+version = "1.3.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "jsonschema"
-version = "4.18.5"
+version = "4.17.3"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
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 [package.dependencies]
-attrs = ">=22.2.0"
-jsonschema-specifications = ">=2023.03.6"
-referencing = ">=0.28.4"
-rpds-py = ">=0.7.1"
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+pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2"
 
 [package.extras]
 format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
 format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
 
-[[package]]
-name = "jsonschema-specifications"
-version = "2023.7.1"
-description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
-optional = false
-python-versions = ">=3.8"
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-
-[package.dependencies]
-referencing = ">=0.28.0"
-
 [[package]]
 name = "keyring"
-version = "23.13.1"
+version = "24.2.0"
 description = "Store and access your passwords safely."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1370,8 +1348,8 @@ SecretStorage = {version = ">=3.2", markers = "sys_platform == \"linux\""}
 
 [package.extras]
 completion = ["shtab"]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
-testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [[package]]
 name = "langchain"
@@ -1427,17 +1405,6 @@ files = [
 pydantic = ">=1,<2"
 requests = ">=2,<3"
 
-[[package]]
-name = "lockfile"
-version = "0.12.2"
-description = "Platform-independent file locking module"
-optional = false
-python-versions = "*"
-files = [
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-]
-
 [[package]]
 name = "markupsafe"
 version = "2.1.3"
@@ -1499,33 +1466,33 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.19.0"
+version = "3.20.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 packaging = ">=17.0"
 
 [package.extras]
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-lint = ["flake8 (==5.0.4)", "flake8-bugbear (==22.10.25)", "mypy (==0.990)", "pre-commit (>=2.4,<3.0)"]
+dev = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)", "pytest", "pytz", "simplejson", "tox"]
+docs = ["alabaster (==0.7.13)", "autodocsumm (==0.2.11)", "sphinx (==7.0.1)", "sphinx-issues (==3.0.1)", "sphinx-version-warning (==1.1.2)"]
+lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
 name = "more-itertools"
-version = "10.0.0"
+version = "10.1.0"
 description = "More routines for operating on iterables, beyond itertools"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "more-itertools-10.0.0.tar.gz", hash = "sha256:cd65437d7c4b615ab81c0640c0480bc29a550ea032891977681efd28344d51e1"},
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+    {file = "more-itertools-10.1.0.tar.gz", hash = "sha256:626c369fa0eb37bac0291bce8259b332fd59ac792fa5497b59837309cd5b114a"},
+    {file = "more_itertools-10.1.0-py3-none-any.whl", hash = "sha256:64e0735fcfdc6f3464ea133afe8ea4483b1c5fe3a3d69852e6503b43a0b222e6"},
 ]
 
 [[package]]
@@ -1756,41 +1723,41 @@ twitter = ["twython"]
 
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 [[package]]
 name = "qdrant-client"
-version = "1.3.1"
+version = "1.4.0"
 description = "Client library for the Qdrant vector search engine"
 optional = false
 python-versions = ">=3.7,<3.12"
 files = [
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 ]
 
 [package.dependencies]
@@ -2461,8 +2460,7 @@ grpcio-tools = ">=1.41.0"
 httpx = {version = ">=0.14.0", extras = ["http2"]}
 numpy = {version = ">=1.21", markers = "python_version >= \"3.8\""}
 portalocker = ">=2.7.0,<3.0.0"
-pydantic = ">=1.8,<2.0"
-typing-extensions = ">=4.0.0,<4.6.0"
+pydantic = ">=1.10.8"
 urllib3 = ">=1.26.14,<2.0.0"
 
 [[package]]
@@ -2571,13 +2569,13 @@ full = ["numpy"]
 
 [[package]]
 name = "readme-renderer"
-version = "40.0"
+version = "41.0"
 description = "readme_renderer is a library for rendering \"readme\" descriptions for Warehouse"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2604,116 +2602,101 @@ python-dateutil = ">=2.8.1,<3.0.0"
 typing-extensions = ">=4.2.0,<5.0.0"
 websockets = ">=10.3,<11.0"
 
-[[package]]
-name = "referencing"
-version = "0.30.0"
-description = "JSON Referencing + Python"
-optional = false
-python-versions = ">=3.8"
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-
-[package.dependencies]
-attrs = ">=22.2.0"
-rpds-py = ">=0.7.0"
-
 [[package]]
 name = "regex"
-version = "2023.6.3"
+version = "2023.8.8"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.6"
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 [[package]]
@@ -2768,167 +2751,64 @@ idna = {version = "*", optional = true, markers = "extra == \"idna2008\""}
 [package.extras]
 idna2008 = ["idna"]
 
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 [[package]]
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 [package.dependencies]
@@ -3229,7 +3115,7 @@ greenlet = {version = "!=0.4.17", markers = "platform_machine == \"win32\" or pl
 typing-extensions = ">=4.2.0"
 
 [package.extras]
-aiomysql = ["aiomysql", "greenlet (!=0.4.17)"]
+aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
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 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
@@ -3351,13 +3237,13 @@ mpmath = ">=0.19"
 
 [[package]]
 name = "tenacity"
-version = "8.2.2"
+version = "8.2.3"
 description = "Retry code until it succeeds"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -3489,6 +3375,30 @@ typing-extensions = "*"
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
 
+[[package]]
+name = "torch"
+version = "2.0.1+cpu"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+optional = false
+python-versions = ">=3.8.0"
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+jinja2 = "*"
+networkx = "*"
+sympy = "*"
+typing-extensions = "*"
+
+[package.extras]
+opt-einsum = ["opt-einsum (>=3.3)"]
+
+[package.source]
+type = "url"
+url = "http://download.pytorch.org/whl/cpu/torch-2.0.1%2Bcpu-cp310-cp310-linux_x86_64.whl"
+
 [[package]]
 name = "torchvision"
 version = "0.15.2"
@@ -3529,38 +3439,38 @@ scipy = ["scipy"]
 
 [[package]]
 name = "tqdm"
-version = "4.65.0"
+version = "4.66.1"
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 python-versions = ">=3.7"
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 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
-dev = ["py-make (>=0.1.0)", "twine", "wheel"]
+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.30.2"
+version = "4.32.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
 filelock = "*"
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+huggingface-hub = ">=0.15.1,<1.0"
 numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
@@ -3571,20 +3481,20 @@ tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14"
 tqdm = ">=4.27"
 
 [package.extras]
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+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,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"]
 docs-specific = ["hf-doc-builder"]
 fairscale = ["fairscale (>0.3)"]
-flax = ["flax (>=0.4.1,<=0.6.9)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "optax (>=0.0.8,<=0.1.4)"]
+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"]
@@ -3598,33 +3508,33 @@ quality = ["GitPython (<3.1.19)", "black (>=23.1,<24.0)", "datasets (!=2.5.0)",
 ray = ["ray[tune]"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
 sagemaker = ["sagemaker (>=2.31.0)"]
-sentencepiece = ["protobuf (<=3.20.3)", "sentencepiece (>=0.1.91,!=0.1.92)"]
-serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
+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 (<=3.20.3)", "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 (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx"]
-tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx"]
+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,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"]
+tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 timm = ["timm"]
 tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
-torch = ["accelerate (>=0.20.2)", "torch (>=1.9,!=1.12.0)"]
+torch = ["accelerate (>=0.20.3)", "torch (>=1.9,!=1.12.0)"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-torch-vision = ["Pillow", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.14.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf (<=3.20.3)", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"]
+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 (>=1.9,!=1.12.0)", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
-vision = ["Pillow"]
+vision = ["Pillow (<10.0.0)"]
 
 [[package]]
 name = "trove-classifiers"
-version = "2023.7.6"
+version = "2023.8.7"
 description = "Canonical source for classifiers on PyPI (pypi.org)."
 optional = false
 python-versions = "*"
 files = [
-    {file = "trove-classifiers-2023.7.6.tar.gz", hash = "sha256:8a8e168b51d20fed607043831d37632bb50919d1c80a64e0f1393744691a8b22"},
-    {file = "trove_classifiers-2023.7.6-py3-none-any.whl", hash = "sha256:b420d5aa048ee7c456233a49203f7d58d1736af4a6cde637657d78c13ab7969b"},
+    {file = "trove-classifiers-2023.8.7.tar.gz", hash = "sha256:c9f2a0a85d545e5362e967e4f069f56fddfd91215e22ffa48c66fb283521319a"},
+    {file = "trove_classifiers-2023.8.7-py3-none-any.whl", hash = "sha256:a676626a31286130d56de2ea1232484df97c567eb429d56cfcb0637e681ecf09"},
 ]
 
 [[package]]
@@ -3652,13 +3562,13 @@ urllib3 = ">=1.26.0"
 
 [[package]]
 name = "typing-extensions"
-version = "4.5.0"
+version = "4.7.1"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"},
-    {file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"},
+    {file = "typing_extensions-4.7.1-py3-none-any.whl", hash = "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36"},
+    {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
 ]
 
 [[package]]
@@ -3710,15 +3620,26 @@ h11 = ">=0.8"
 [package.extras]
 standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
+[[package]]
+name = "validators"
+version = "0.21.0"
+description = "Python Data Validation for Humans™"
+optional = false
+python-versions = ">=3.8,<4.0"
+files = [
+    {file = "validators-0.21.0-py3-none-any.whl", hash = "sha256:3470db6f2384c49727ee319afa2e97aec3f8fad736faa6067e0fd7f9eaf2c551"},
+    {file = "validators-0.21.0.tar.gz", hash = "sha256:245b98ab778ed9352a7269c6a8f6c2a839bed5b2a7e3e60273ce399d247dd4b3"},
+]
+
 [[package]]
 name = "virtualenv"
-version = "20.24.2"
+version = "20.24.3"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.24.2-py3-none-any.whl", hash = "sha256:43a3052be36080548bdee0b42919c88072037d50d56c28bd3f853cbe92b953ff"},
-    {file = "virtualenv-20.24.2.tar.gz", hash = "sha256:fd8a78f46f6b99a67b7ec5cf73f92357891a7b3a40fd97637c27f854aae3b9e0"},
+    {file = "virtualenv-20.24.3-py3-none-any.whl", hash = "sha256:95a6e9398b4967fbcb5fef2acec5efaf9aa4972049d9ae41f95e0972a683fd02"},
+    {file = "virtualenv-20.24.3.tar.gz", hash = "sha256:e5c3b4ce817b0b328af041506a2a299418c98747c4b1e68cb7527e74ced23efc"},
 ]
 
 [package.dependencies]
@@ -3730,6 +3651,26 @@ platformdirs = ">=3.9.1,<4"
 docs = ["furo (>=2023.5.20)", "proselint (>=0.13)", "sphinx (>=7.0.1)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
 test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
 
+[[package]]
+name = "weaviate-client"
+version = "3.23.0"
+description = "A python native Weaviate client"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "weaviate-client-3.23.0.tar.gz", hash = "sha256:3ffd7f1460c9e32755d84d4f5fc63dfc0bd990dbe2c3dc20d5c68119d467680e"},
+    {file = "weaviate_client-3.23.0-py3-none-any.whl", hash = "sha256:3d3bb75c1d96b2b71e213c5eb885ae3e3f42e4304955383c467d100187d9ff8e"},
+]
+
+[package.dependencies]
+authlib = ">=1.1.0"
+requests = ">=2.28.0,<=2.31.0"
+tqdm = ">=4.59.0,<5.0.0"
+validators = ">=0.18.2,<=0.21.0"
+
+[package.extras]
+grpc = ["grpcio", "grpcio-tools"]
+
 [[package]]
 name = "webencodings"
 version = "0.5.1"
@@ -3821,13 +3762,13 @@ files = [
 
 [[package]]
 name = "wheel"
-version = "0.41.0"
+version = "0.41.2"
 description = "A built-package format for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "wheel-0.41.0-py3-none-any.whl", hash = "sha256:7e9be3bbd0078f6147d82ed9ed957e323e7708f57e134743d2edef3a7b7972a9"},
-    {file = "wheel-0.41.0.tar.gz", hash = "sha256:55a0f0a5a84869bce5ba775abfd9c462e3a6b1b7b7ec69d72c0b83d673a5114d"},
+    {file = "wheel-0.41.2-py3-none-any.whl", hash = "sha256:75909db2664838d015e3d9139004ee16711748a52c8f336b52882266540215d8"},
+    {file = "wheel-0.41.2.tar.gz", hash = "sha256:0c5ac5ff2afb79ac23ab82bab027a0be7b5dbcf2e54dc50efe4bf507de1f7985"},
 ]
 
 [package.extras]
@@ -4022,4 +3963,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.12"
-content-hash = "b06ccd9a1c06f6782e18f78aa51c3d33af75d74526a9f3a85bf26c6e58ab3e62"
+content-hash = "9ea27b472da2822df45db95a297595ff5bb054680cb8f2cfea65776edb7d85d3"
diff --git a/server/pyproject.toml b/server/pyproject.toml
index 331290a..3fab9df 100644
--- a/server/pyproject.toml
+++ b/server/pyproject.toml
@@ -21,6 +21,11 @@ pymupdf = "^1.22.5"
 openai = "^0.27.8"
 supabase = "^1.0.3"
 poetry-dotenv-plugin = "^0.2.0"
+torch = [
+  { platform = "darwin", version="^2.0.1" },
+  { platform = "linux", url = "http://download.pytorch.org/whl/cpu/torch-2.0.1%2Bcpu-cp310-cp310-linux_x86_64.whl", markers = "platform_machine == 'x86_64'" }
+]
+weaviate-client = "^3.23.0"
 
 [tool.poetry.scripts]
 start = "server.main:start"
diff --git a/server/server/main.py b/server/server/main.py
index afc9bdc..298ed58 100644
--- a/server/server/main.py
+++ b/server/server/main.py
@@ -1,4 +1,7 @@
 import os
+from embedding_generation.local import SentenceTransformerEmbedding
+from embedding_generation.models import ALL_MINILM_L6_V2, EmbeddingModel
+from embedding_generation.services import HuggingfaceInferenceEndpoingEmbedding
 import uvicorn
 from fastapi import FastAPI, File, HTTPException, Depends, Body, UploadFile
 from typing import List
@@ -35,7 +38,17 @@
 )
 
 bearer_scheme = HTTPBearer()
-vector_store = WeaviateVectorStore() if os.environ.get('USE_WEAVIATE_VECTORSTORE') == 'true' else QdrantVectorStore()
+embedding_model_override = EmbeddingModel(os.environ.get("embeddings_model"), os.environ.get("embeddings_size"))
+
+embedding_model = embedding_model_override if embedding_model_override.name else ALL_MINILM_L6_V2
+
+if os.environ.get("embeddings_local"):
+    embedding_generator = SentenceTransformerEmbedding(embedding_model)
+else:
+    embedding_generator = HuggingfaceInferenceEndpoingEmbedding(embedding_model, os.environ.get("hf_token"))
+
+# TODO: Waviate module needs to be refactored to use embedding abstraction as well
+vector_store = WeaviateVectorStore() if os.environ.get('USE_WEAVIATE_VECTORSTORE') == 'true' else QdrantVectorStore(embedding_generator)
 llm = get_selected_llm()
 db = Database()
 
@@ -89,16 +102,19 @@ async def get_previews(
 
         previews: List[FilePreview] = []
         for upload_file in upload_files:
-            pdf_document = fitz.open(upload_file.filename, upload_file.file)
-            page = pdf_document.load_page(0)
-            image = page.get_pixmap()
-            image_bytes = image.tobytes()
-            image_base64 = base64.b64encode(image_bytes).decode("utf-8")
-            previews.append(
-                FilePreview(
-                    file_name=upload_file.filename, file_preview_img=image_base64
+            try:
+                pdf_document = fitz.open(upload_file.filename, upload_file.file)
+                page = pdf_document.load_page(0)
+                image = page.get_pixmap()
+                image_bytes = image.tobytes()
+                image_base64 = base64.b64encode(image_bytes).decode("utf-8")
+                previews.append(
+                    FilePreview(
+                        file_name=upload_file.filename, file_preview_img=image_base64
+                    )
                 )
-            )
+            except Exception as e:
+                print(f'Issue creating preview for file {upload_file.filename}\nError: {e}')
         return GetPreviewsResponse(previews=previews)
     except Exception as e:
         print(e)
diff --git a/server/vectorstore/qdrant_vectorstore.py b/server/vectorstore/qdrant_vectorstore.py
index 35208ef..b31146f 100644
--- a/server/vectorstore/qdrant_vectorstore.py
+++ b/server/vectorstore/qdrant_vectorstore.py
@@ -1,22 +1,16 @@
 import os
+from embedding_generation.models import EmbeddingGenerator
 from models.models import Document as PsychicDocument, VectorStore, AppConfig
 from typing import List, Any, Optional
 import uuid
 from qdrant_client import QdrantClient
 from langchain.docstore.document import Document
-from sentence_transformers import SentenceTransformer
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 import os
 from qdrant_client.models import PointStruct, Distance, VectorParams, ScoredPoint
 from qdrant_client.http import models as rest
 
 
-embeddings_model = SentenceTransformer(
-    os.environ.get("embeddings_model") or "all-MiniLM-L6-v2"
-)
-embeddings_dimension = 384
-
-
 class QdrantVectorStore(VectorStore):
     client: Optional[QdrantClient] = None
     collection_name: Optional[str] = None
@@ -24,7 +18,7 @@ class QdrantVectorStore(VectorStore):
     class Config:
         arbitrary_types_allowed = True
 
-    def __init__(self):
+    def __init__(self, embeddings_model: EmbeddingGenerator):
         # self.client = Qdrant.from_documents(
         #     [],
         #     embeddings,
@@ -33,6 +27,7 @@ def __init__(self):
         # )
 
         super().__init__()
+        self.embeddings_model = embeddings_model
         if not os.getenv("QDRANT_URL"):
             raise Exception("QDRANT_URL must be set as an environment variable.")
         qdrant_port = os.getenv("QDRANT_PORT") or "6333"
@@ -46,7 +41,7 @@ def __init__(self):
             self.client.create_collection(
                 collection_name="my_documents",
                 vectors_config=VectorParams(
-                    size=embeddings_dimension, distance=Distance.COSINE
+                    size=self.embeddings_model.dimensions, distance=Distance.COSINE
                 ),
             )
         self.collection_name = "my_documents"
@@ -83,7 +78,7 @@ async def upsert(
                 )
 
             # TODO: Fix this so that the vector output is of the format PointStruct expects
-            vector = embeddings_model.encode([doc.page_content])[0]
+            vector = self.embeddings_model.encode([doc.page_content])[0]
             vector = vector.tolist()
 
             points.append(
@@ -107,7 +102,7 @@ async def upsert(
         return True
 
     async def query(self, query: str, app_config: AppConfig) -> List[PsychicDocument]:
-        query_vector = embeddings_model.encode([query])[0]
+        query_vector = self.embeddings_model.encode([query])[0]
         query_vector = query_vector.tolist()
         results = self.client.search(
             collection_name=self.collection_name,