Files
espiritismo-rag-system/backend/requirements.txt
T
lgcosta b9c0c66d21 feat: implementar sistema RAG Espiritismo completo
- Stack: GPT4All + Llama 3.2 3B, LangChain, Qdrant, FastAPI, Docker
- 11 tarefas implementadas com 100% de conclusão
- Funcionalidades: chat com IA, upload PDF, bot Telegram, agendamento
- 6 livros PDF indexados (A Gênese, Livro dos Espíritos, etc.)
- Documentação rica: README, BUILD, task reports, design specs
- Deploy com Docker Compose
- Production ready

Tech stack:
- AI: GPT4All 2.4.6, Llama 3.2 3B q4_0
- Backend: FastAPI 0.115.0, Celery 5.4.0, Redis 5.2.0
- RAG: LangChain 0.3.7, Qdrant 1.11.1
- Frontend: HTML5/CSS3/Vanilla JS
- Deploy: Docker Compose

Acceptance Criteria:
✅ CPU-only, <8GB RAM, ~5GB storage
✅ Suporta upload de PDFs
✅ Interface web rica e responsiva
✅ Bot Telegram funcional
✅ Agendamento de mensagens
✅ Código limpo e documentado
✅ Deploy via Docker

Status: PRODUCTION READY
Version: 1.0.0
Date: 2026-11-01
2026-11-01 10:56:17 -03:00

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fastapi==0.115.0
uvicorn[standard]==0.32.0
pydantic==2.9.2
python-multipart==0.0.9
gpt4all==2.4.6
langchain==0.3.7
langchain-community==0.3.5
langchain-experimental==0.0.73
sentence-transformers==2.7.0
pytelegrambotapi==4.26.0
celery==5.4.0
redis==5.2.0
python-dotenv==1.0.1
python-dateutil==2.9.0.post0
aiofiles==24.1.0
qdrant-client==1.11.1