# Mint Starter Kit

## Docs

- [Core Architecture](https://ragopt.aboneda.com/concepts.md): Understanding RAGOpt's architecture and optimization workflow
- [Introduction](https://ragopt.aboneda.com/index.md)
- [1. Full Metrics](https://ragopt.aboneda.com/metrics/full_metrics.md)
- [3. Generation Metrics](https://ragopt.aboneda.com/metrics/generation_metrics.md)
- [Overview](https://ragopt.aboneda.com/metrics/overview.md): Evaluate your RAG pipeline with comprehensive metrics
- [2. Retrieval Metrics](https://ragopt.aboneda.com/metrics/retrieval_metrics.md)
- [Dataset Generation](https://ragopt.aboneda.com/optimization/dataset_gen.md)
- [4- Evaluation](https://ragopt.aboneda.com/optimization/evaluation.md)
- [5- Optimization](https://ragopt.aboneda.com/optimization/optimizer.md)
- [Overview](https://ragopt.aboneda.com/optimization/overview.md)
- [3- RAG Manager](https://ragopt.aboneda.com/optimization/rag-manager.md)
- [Searchspace](https://ragopt.aboneda.com/optimization/searchspace.md)
- [Quickstart](https://ragopt.aboneda.com/quickstart.md)
- [RAG Workflow](https://ragopt.aboneda.com/rag/custom.md): Build and customize your own RAG pipelines with RAGOpt
- [Configuration Overview](https://ragopt.aboneda.com/rag/overview.md): Learn how to configure your RAG system with indexing, retrieval, and generation parameters

## OpenAPI Specs

- [openapi](https://ragopt.aboneda.com/api-reference/openapi.json)

## Optional

- [Community](https://github.com/GaiaAI-Hub)
- [Github](https://github.com/GaiaAI-Hub/rag-opt)