ai-ShopMind
It works by converting product descriptions into vector embeddings stored in Endee, a high-performance vector database. When a customer asks a question, the system finds the most semantically similar products using vector search, then generates a helpful answer grounded in the actual product catalog.
파일 탐색기
- config.yml
- ci.yml
- cd6e8227b13c_add_new_feature.py
- fada02c1d3ab_initial_schema_rootcause_and_.py
- env.py
- README
- script.py.mako
- __init__.py
- chunker.py
- document_processor.py
- fetch_charm.py
- fetch_manualslib.py
- fetchers.py
- index_manager.py
- indexer.py
- ingestion_manager.py
- pdf_parser.py
- run_ingestion.py
- __init__.py
- calibration.py
- config.py
- contradiction_detector.py
- cost_weighting.py
- data_prep.py
- mock_predictor.py
- predictor.py
- README.md
- registry.py
- retrain.py
- schemas.py
- trainer.py
- __init__.py
- base.py
- circuit_breaker.py
- gcp_local.py
- siliconeflow.py
- __init__.py
- admin.py
- diagnose.py
- feedback.py
- health.py
- metrics.py
- __init__.py
- bonuses.py
- history.py
- hybrid_score.py
- similarity.py
- weight_manager.py
- __init__.py
- diagnostic_service.py
- app.js
- index.html
- style.css
- __init__.py
- vin_decoder.py
- web_search.py
- __init__.py
- app_factory.py
- config.py
- database.py
- db_handlers.py
- embeddings.py
- embeddings_utils.py
- exceptions.py
- logger.py
- main.py
- metrics.py
- models.py
- protocols.py
- query_utils.py
- ranker.py
- retriever.py
- schemas.py
- types.py
- vector_store.py
- feature-01.webp
- feature-02.webp
- hero.webp
- architecture.md
- impact.md
- setup.md
- pipeline_checklist.py
- validate_training_pipeline.py
- __init__.py
- README.md
- test_real_torch_integration.py
- test_torch_model_loading.py
- test_workflow.py
- __init__.py
- build_test_faiss_index.py
- generate_test_data.py
- training_data.py
- __init__.py
- test_api.py
- test_llm_fallback.py
- test_torch_persistence.py
- test_training_pipeline_e2e.py
- __init__.py
- llm_contract_mock.py
- __init__.py
- test_chunker.py
- test_circuit_breaker.py
- test_embeddings.py
- test_indexer.py
- test_metrics_instrumentation.py
- test_model_registry_versioning.py
- test_pdf_parser.py
- test_providers.py
- test_ranker.py
- test_retriever.py
- test_schemas.py
- test_similarity.py
- test_sql_injection_prevention.py
- test_torch_v2_integration.py
- test_vector_store.py
- test_week2_integration.py
- __init__.py
- conftest.py
- run_e2e_torch.sh
- .dockerignore
- .env.example
- .gitignore
- .pre-commit-config.yaml
- alembic.ini
- ALEMBIC_QUICK_REFERENCE.sh
- ALEMBIC_SETUP_COMPLETE.md
- API.md
- check_db_schema.py
- CI_CD_CHECKLIST.md
- CI_CD_SETUP.md
- CI_CD_TROUBLESHOOTING.md
- CODE_ANALYSIS_COMPREHENSIVE.md
- CONTRIBUTING.md
- DEPLOYMENT.md
- docker-compose.yml
- Dockerfile
- GCP_LLM_QUICK_START.md
- GCP_LLM_SETUP.md
- GCP_LLM_SETUP_COMPLETE.md
- IMPLEMENTATION_STATUS.md
- PHASE3_METRICS_COMPLETE.md
- PHASE_5_CI_CD_COMPLETE.md
- PRODUCTION_READINESS.md
- pyproject.toml
- pytest.ini
- README.md
- requirements.txt
- setup_gcp_llm.py
- setup_gcp_llm.sh
- SQL_INJECTION_FIX_COMPLETE.md
- TORCH_QUICK_REFERENCE.md
- TRAINING_PIPELINE_IMPLEMENTATION_SUMMARY.md
- TRAINING_PIPELINE_QUICK_REFERENCE.md
- TRAINING_PIPELINE_VALIDATION.md
- V2_TORCH_IMPLEMENTATION.md
- validate_week1.py
- verify_alembic.py
- verify_embedding_consolidation.py
- verify_endpoints.py
- verify_integration.py
- verify_metrics.py
- WEEK2_IMPLEMENTATION_COMPLETE.md
- WEEK2_TORCH_INTEGRATION.md
# CDN으로 사용하기
jsDelivrjsDelivr는 공개 GitHub 리포지토리를 별도 설정 없이 CDN으로 즉시 서빙합니다. 버전과 파일을 고르면 웹페이지에 바로 붙일 수 있는 링크와 예시 코드가 만들어집니다.
명령어 용어집
이 문서에서 사용된 명령어를 모아봤습니다. 낯선 명령어가 있다면 펼쳐서 확인해보세요.
pip install
설명 보기 ▼
pip install
Install Python packages.
pip install {{package1 package2 ...}}
Install one or more packages:
pip install {{package1 package2 ...}} {{[-U|--upgrade]}}
Upgrade all specified packages to the latest version, installing any that are not already present:
pip install {{package}}=={{version}}
Install a specific version of a package:
python
설명 보기 ▼
python
Python 언어 인터프리터.
더 많은 정보: <https://docs.python.org/using/cmdline.html>.
python
REPL(대화형 셸) 시작:
python {{path/to/file.py}}
특정 Python 파일 실행:
python -i {{path/to/file.py}}
특정 Python 파일 실행 후 REPL 시작:
uvicorn
설명 보기 ▼
uvicorn
비동기 프로젝트를 위한 Python ASGI HTTP 서버.
더 많은 정보: <https://www.uvicorn.org/settings/>.
uvicorn {{import.path:app_object}}
Python 웹 앱 실행:
uvicorn --host {{localhost}} --port {{8080}} {{import.path:app_object}}
localhost에서 포트 8080으로 수신 대기:
uvicorn --reload {{import.path:app_object}}
라이브 리로드 활성화: