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<!-- .github/pull_request_template.md --> ## Description <!-- Provide a clear description of the changes in this PR --> # Add Support for ChromaDB ## Summary This PR adds support for ChromaDB as a vector database option in the Cognee application. ChromaDB is a modern, open-source embedding database designed for AI applications. ## Changes - Created a new ChromaDBAdapter implementation for vector database operations - Added comprehensive test suite for ChromaDB functionality - Updated docker-compose.yml to include ChromaDB service - Modified environment configuration to support ChromaDB settings - Updated vector engine creation logic to support ChromaDB as an option ## Technical Details - Implemented `ChromaDBAdapter.py` (347 lines) with full CRUD operations for vector data - Created test suite (`test_chromadb.py`) with 171 lines of test coverage - Updated vector engine creation process to dynamically select ChromaDB when configured - Modified settings router to accommodate new database option - Updated environment template with ChromaDB configuration options ## Docker Changes - Added ChromaDB service to docker-compose.yml with appropriate configuration This PR enhances Cognee's flexibility by providing an alternative vector database option, allowing users to choose the most appropriate database for their specific use case. ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin Tested with UI + tests. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Expanded vector database integration by adding support for Chromadb, enabling enhanced data management and search functionalities. - **Tests** - Added automated tests to validate the Chromadb integration and related operations. - **Chores** - Updated configuration guidance and dependency management to include Chromadb. - Provided an optional container deployment template for Chromadb. - Added a new entry to ignore the `.chromadb_data/` directory in version control. - Introduced a new GitHub Actions workflow for testing Chromadb integration. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Co-authored-by: hajdul88 <52442977+hajdul88@users.noreply.github.com> Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
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.data
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.env
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.local.env
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.prod.env
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cognee/.data/
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code_pipeline_output*/
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*.lance/
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.DS_Store
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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full_run.ipynb
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.env.local
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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.idea/
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.vscode/
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cognee/data/
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cognee/cache/
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# Default cognee system directory, used in development
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.cognee_system/
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.data_storage/
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.artifacts/
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.anon_id
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node_modules/
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# Evals
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SWE-bench_testsample/
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# ChromaDB Data
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.chromadb_data/ |