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Backend and frontend are always separate.\n\n> 📚 Full curriculum: see [SYLLABUS.md](SYLLABUS.md).\n\n---\n\n## 📅 What's inside\n\n| Day | Topic | Key concepts | App |\n|----|-------|--------------|-----|\n| **[1](Day1_RAG_Foundations/)** | RAG Foundations | load → chunk → embed → store → retrieve → generate, citations | Chat with your docs |\n| **[2](Day2_Conversational_RAG/)** | Conversational RAG | **memory** (buffer/window/summary), history-aware rewriting, multi-query, RAG-Fusion, HyDE | Chat that remembers |\n| **[3](Day3_Advanced_Retrieval/)** | Advanced Retrieval | **hybrid search** (dense + BM25 + RRF), **reranking** (listwise/pointwise), contextual compression, contextual retrieval, GraphRAG | Retrieval lab |\n| **[4](Day4_RAG_Evaluation/)** | Evaluation (built-in) | faithfulness, answer relevance/correctness, context precision/recall, MRR, hit-rate, synthetic test sets — **LLM-as-judge, no framework** | Metrics dashboard |\n| **[4.1](Day4.1_RAGAS_Evaluation/)** | Evaluation (RAGAS) | the same metrics via the **RAGAS framework** | RAGAS dashboard |\n| **[5](Day5_Agentic_RAG/)** | Agentic RAG — LangGraph | Adaptive routing + **CRAG** (grade→rewrite) + **Self-RAG** (hallucination/answer checks) + web fallback + checkpointer memory | Self-correcting agent |\n| **[6](Day6_Agentic_RAG_CrewAI/)** | Agentic RAG — CrewAI | **custom manager agent** (hierarchical) routing to KB / Web / General specialists | Multi-agent capstone |\n\n---\n\n## 🛠️ Tech stack\n\n**LangChain · LangGraph · CrewAI · ChromaDB · BM25 · OpenAI (`gpt-4o-mini`, `text-embedding-3-small`) · RAGAS · FastAPI · Streamlit · uv**\n\n---\n\n## ✅ Prerequisites\n\n- **Python 3.11+** (ChromaDB needs `sqlite3 ≥ 3.35`; 3.8/3.9 won't work).\n- An `OPENAI_API_KEY`.\n- [`uv`](https://github.com/astral-sh/uv) recommended.\n\n---\n\n## 🚀 Quick start (any day)\n\nEach day has a `backend/` and a `frontend/`. 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I'm always happy to help.\n\n- 💼 **LinkedIn:** [linkedin.com/in/shivan-kumar](https://www.linkedin.com/in/shivan-kumar/) — connect and message me\n- ☕ **1:1 call / consulting:** [topmate.io/shivan_kumar1](https://topmate.io/shivan_kumar1/)\n\n---\n\n## 💛 Support this work\n\nThese materials took a lot of time and care to build — covering genuinely advanced RAG and Agentic RAG concepts, end to end, for free.\n\nIf they helped you, you can support us with **whatever amount you can** — anything is appreciated and keeps free content coming:\n\n### 👉 [topmate.io/shivan_kumar1](https://topmate.io/shivan_kumar1/) — pay any amount to support us 🙏\n\nIf you can't contribute right now, a **⭐ star** and a share help just as much. Thank you!\n\n---\n\n## 📜 License\n\nReleased under the **[MIT License](LICENSE)** — free to use, learn from, teach, and build on. 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