deepRAG - GitLite

KO | EN

gitlite — search

#javascript #react #ai #llm #go #android #deep-learning #nodejs #java #windows #cli #pytorch #mcp #open-source

deepRAG

(★ 102)

Uses a blend of experimental techniques to enhance LLM RAG resultsets.

파일 탐색기

최종 버전 다운로드 (.zip)

- devcontainer.json
- - codeql.yml
- launch.json
- settings.json
- ARCHITECTURE.md
- Example Taxonomy.md
- - agent.py
  - agents.py
  - pyproject.toml
  - README.md
- - api.py
  - main.py
  - pyproject.toml
  - README.md
- - app.py
  - pyproject.toml
  - README.md
- - cache.py
  - distributedcache.py
  - pyproject.toml
  - README.md
- - functions.py
  - pyproject.toml
  - README.md
  - search_vector_function.py
- - agent_configuration.py
  - agent_response.py
  - models.py
  - pyproject.toml
  - README.md
  - settings.py
- - history.py
  - pyproject.toml
  - README.md
  - services.py
- - poetry.lock
  - pyproject.toml
  - README.md
  - smart_agent_factory.py
  - utilities.py
  - utils.py
- main.py
- pyproject.toml
- README.md
- test_api.py
- test_search_vector_function.py
- test_server.py
- test_smart_agent.py
- test_vectors.py
- tests.py
.gitignore
CODE_OF_CONDUCT.md
LICENSE
log.txt
poetry.toml
pyproject.toml
README.md
SECURITY.md
SUPPORT.md

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/microsoft/deepRAG

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd deepRAG

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Python

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip install .

PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.

python <실행할 파일명>.py # README에서 정확한 실행 파일명을 확인하세요

파이썬 스크립트(또는 모듈)를 실행합니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Project

The deepRAG project seeks to extend classic retrieval using vector databases to optional utilize other search technologies for extended results.
This will initially be done by utilizing graph databases to help answer queries related to content summaries that aren't directly related to snippets of content.

The architecture of this project is located in [ARCHITECTURE.MD](./docs/ARCHITECTURE.md).

## Running the project

Run the following command.
```poetry install```

Then, select the interpreter in the poetry cache.

## Contributing

This project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

## Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft 
trademarks or logos is subject to and must follow 
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.