├── .github └── workflows │ └── python-package.yml ├── .gitignore ├── Dockerfile ├── LICENSE ├── README.md ├── embedding_server ├── __init__.py ├── __main__.py └── server.py ├── images └── example.jpeg ├── poetry.lock ├── pyproject.toml ├── requirements.txt ├── setup.py ├── systemd └── embedding-server.service └── tests ├── sink.py └── test_compat.py /.github/workflows/python-package.yml: -------------------------------------------------------------------------------- 1 | # This workflow will install Python dependencies, run tests and lint with a variety of Python versions 2 | # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python 3 | 4 | name: Python package 5 | 6 | on: 7 | push: 8 | branches: [ "main" ] 9 | pull_request: 10 | branches: [ "main" ] 11 | 12 | jobs: 13 | build: 14 | 15 | runs-on: ubuntu-latest 16 | strategy: 17 | fail-fast: false 18 | matrix: 19 | python-version: ["3.9", "3.10", "3.11"] 20 | 21 | steps: 22 | - uses: actions/checkout@v3 23 | - name: Set up Python ${{ matrix.python-version }} 24 | uses: actions/setup-python@v3 25 | with: 26 | python-version: ${{ matrix.python-version }} 27 | - name: Install dependencies 28 | run: | 29 | python -m pip install --upgrade pip 30 | python -m pip install flake8 pytest 31 | if [ -f requirements.txt ]; then pip install -r requirements.txt; fi 32 | - name: Lint with flake8 33 | run: | 34 | # stop the build if there are Python syntax errors or undefined names 35 | flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics 36 | # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide 37 | flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics 38 | - name: Test with pytest 39 | run: | 40 | pytest -k 'not test_openaicompat' 41 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # poetry 98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 102 | #poetry.lock 103 | 104 | # pdm 105 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 106 | #pdm.lock 107 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 108 | # in version control. 109 | # https://pdm.fming.dev/#use-with-ide 110 | .pdm.toml 111 | 112 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 113 | __pypackages__/ 114 | 115 | # Celery stuff 116 | celerybeat-schedule 117 | celerybeat.pid 118 | 119 | # SageMath parsed files 120 | *.sage.py 121 | 122 | # Environments 123 | .env 124 | .venv 125 | env/ 126 | venv/ 127 | ENV/ 128 | env.bak/ 129 | venv.bak/ 130 | 131 | # Spyder project settings 132 | .spyderproject 133 | .spyproject 134 | 135 | # Rope project settings 136 | .ropeproject 137 | 138 | # mkdocs documentation 139 | /site 140 | 141 | # mypy 142 | .mypy_cache/ 143 | .dmypy.json 144 | dmypy.json 145 | 146 | # Pyre type checker 147 | .pyre/ 148 | 149 | # pytype static type analyzer 150 | .pytype/ 151 | 152 | # Cython debug symbols 153 | cython_debug/ 154 | 155 | # PyCharm 156 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 157 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 158 | # and can be added to the global gitignore or merged into this file. For a more nuclear 159 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 160 | #.idea/ 161 | -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | FROM python:3.11 2 | 3 | ADD embedding_server/* / 4 | ADD requirements.txt / 5 | 6 | RUN python3 -m pip install -r requirements.txt 7 | RUN python3 -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.getenv('MODEL', 'all-MiniLM-L6-v2'));" 8 | 9 | EXPOSE 8000 10 | ENTRYPOINT ["uvicorn", "server:app"] 11 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023 Tosh San https://github.com/toshsan 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Private Embedding Server API 2 | 3 | Drop in replacement for OpenAI's embedding API. Can be used with official OpenAPI libraries. Written in python3 4 | 5 | ## Motivation 6 | 7 | Embeddings supports modern day AI use cases for Classification, clustering, semantic Search & Recommendations. OpenAI and Huggingface api are great, however if you are concerned about privacy of your and your customers data, your data should not be leaked over to their api which may be used for purpose not defined by your privacy policy. 8 | 9 | 50 LOC 10 | 11 | ![Private Embedding Server](images/example.jpeg "Private Embedding Server") 12 | 13 | ## Usage 14 | 15 | ``` 16 | import openai 17 | 18 | openai.api_key = "MYKEY" 19 | openai.api_base = "http://localhost:8080/v1" 20 | 21 | embeddings = openai.Embedding.create( 22 | input="The food was delicious and the waiter...", model="all-MiniLM-L6-v2" 23 | ) 24 | 25 | print(embeddings) 26 | ``` 27 | 28 | Also via CURL 29 | 30 | ``` 31 | curl http://localhost:8000/v1/embeddings \ 32 | -H "Content-Type: application/json" \ 33 | -H "Authorization: Bearer MYKEY" \ 34 | -d '{ 35 | "input": "Your text string goes here", 36 | "model": "all-MiniLM-L6-v2" 37 | }' 38 | ``` 39 | 40 | ### Start Server 41 | 42 | ``` 43 | $ KEY=MYKEY ./embedding_server/server.py 44 | ``` 45 | 46 | Or using Uvicorn 47 | 48 | ``` 49 | $ MODEL=all-mpnet-base-v2 uvicorn 'embedding:app' 50 | ``` 51 | 52 | ## Installation 53 | 54 | poetry install 55 | 56 | ## Models 57 | 58 | Supports model of your choice from https://www.sbert.net/docs/pretrained_models.html#sentence-embedding-models/ with environment varible MODEL 59 | 60 | ## Authentication 61 | 62 | Supports shared key authentication (good enough for local usecases) 63 | 64 | Dependecies 65 | 66 | - sentence_transformers 67 | - fastapi 68 | - uvicorn 69 | 70 | TODO: 71 | 72 | - Unit testing 73 | - Benchmark 74 | 75 | ### Notes: 76 | 77 | The server will download the model data to cache on the first use. About 400mb depending on model in use 78 | 79 | ### Clearning Cache 80 | 81 | rm -rf ~/.cache/torch 82 | -------------------------------------------------------------------------------- /embedding_server/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/toshsan/embedding-server/451f5347fa6687e9c0a9650167683df7c84f750c/embedding_server/__init__.py -------------------------------------------------------------------------------- /embedding_server/__main__.py: -------------------------------------------------------------------------------- 1 | import uvicorn 2 | import os 3 | from embedding_server.server import app 4 | 5 | 6 | def main(): 7 | uvicorn.run( 8 | app, 9 | host="0.0.0.0", 10 | port=int(os.getenv("PORT", 8000)), 11 | ) 12 | 13 | 14 | if __name__ == "__main__": 15 | main() 16 | -------------------------------------------------------------------------------- /embedding_server/server.py: -------------------------------------------------------------------------------- 1 | import logging 2 | import time 3 | from typing import Optional 4 | from sentence_transformers import SentenceTransformer 5 | from fastapi import FastAPI, HTTPException, Header 6 | from pydantic import BaseModel, Field 7 | import os 8 | 9 | MODEL_NAME = os.getenv("MODEL", "all-MiniLM-L6-v2") 10 | AUTH = f"Bearer {os.getenv('KEY', 'YOUR_KEY')}" 11 | 12 | model = SentenceTransformer(MODEL_NAME) 13 | app = FastAPI() 14 | logger = logging.getLogger(__name__) 15 | 16 | 17 | class EmbeddingBody(BaseModel): 18 | input: str = Field(description="Your text string goes here") 19 | model: str | None = Field( 20 | default=None, title="model name. not in use", max_length=300 21 | ) 22 | 23 | 24 | @app.post( 25 | "/v1/embeddings", 26 | ) 27 | async def root(body: EmbeddingBody, Authorization: Optional[str] = Header(None)): 28 | if AUTH != Authorization: 29 | raise HTTPException( 30 | status_code=401, 31 | detail="Authroization: Bearer YOUR_KEY must be provided", 32 | ) 33 | 34 | sentences = [body.input] 35 | start = time.time() 36 | 37 | embeddings = model.encode(sentences) 38 | logger.info("%s took %f", body.input, time.time() - start) 39 | 40 | return { 41 | "data": [ 42 | { 43 | "embedding": embeddings[0].tolist(), 44 | "index": 0, 45 | "object": "embedding", 46 | } 47 | ], 48 | "model": MODEL_NAME, 49 | "object": "list", 50 | "usage": {"prompt_tokens": 0, "total_tokens": 0}, 51 | } 52 | -------------------------------------------------------------------------------- /images/example.jpeg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/toshsan/embedding-server/451f5347fa6687e9c0a9650167683df7c84f750c/images/example.jpeg -------------------------------------------------------------------------------- /poetry.lock: -------------------------------------------------------------------------------- 1 | # This file is 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-------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "embedding-server" 3 | version = "0.2.1" 4 | description = "" 5 | authors = ["ToshSan "] 6 | readme = "README.md" 7 | 8 | [tool.poetry.dependencies] 9 | python = "^3.11" 10 | fastapi = "^0.103.2" 11 | uvicorn = "^0.23.2" 12 | sentence-transformers = "^2.2.2" 13 | 14 | [tool.poetry.group.test.dependencies] 15 | pytest = "^7.4.2" 16 | faiss-cpu = "^1.7.4" 17 | openai = "^0.28.1" 18 | 19 | [build-system] 20 | requires = ["poetry-core"] 21 | build-backend = "poetry.core.masonry.api" 22 | 23 | [tool.poetry.scripts] 24 | embedding_server = "embedding_server.__main__:main" 25 | 26 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | fastapi==0.103.2 2 | sentence-transformers==2.2.2 3 | uvicorn==0.23.2 4 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | from setuptools import setup 2 | 3 | setup() -------------------------------------------------------------------------------- /systemd/embedding-server.service: -------------------------------------------------------------------------------- 1 | [Unit] 2 | Description=Embedding Server 3 | After=multi-user.target[Service] 4 | Type=simple 5 | Restart=always 6 | ExecStart=/usr/bin/python3 -m embedding_server 7 | WantedBy=multi-user.target 8 | DynamicUser=yes -------------------------------------------------------------------------------- /tests/sink.py: -------------------------------------------------------------------------------- 1 | import openai 2 | # import faiss 3 | 4 | openai.api_key = "YOUR_KEY" 5 | openai.api_base = "http://localhost:8080/v1" 6 | 7 | embeddings = openai.Embedding.create( 8 | input="The food was delicious and the waiter...", model="all-MiniLM-L6-v2" 9 | ) 10 | 11 | print(embeddings) 12 | 13 | # # make faiss available 14 | # index = faiss.IndexFlatL2(d) # build the index, d=size of vectors 15 | # # here we assume xb contains a n-by-d numpy matrix of type float32 16 | # index.add(xb) # add vectors to the index 17 | # print(index.ntotal) 18 | -------------------------------------------------------------------------------- /tests/test_compat.py: -------------------------------------------------------------------------------- 1 | class TestCompat: 2 | def test_openaicompat(self): 3 | import openai 4 | 5 | openai.api_key = "YOUR_KEY" 6 | openai.api_base = "http://localhost:8080/v1" 7 | 8 | response = openai.Embedding.create( 9 | input="The food was delicious and the waiter...", model="all-MiniLM-L6-v2" 10 | ) 11 | embeddings = response["data"][0]["embedding"] 12 | 13 | assert embeddings 14 | 15 | def test_passci(self): 16 | assert True 17 | --------------------------------------------------------------------------------