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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -37,6 +37,7 @@ Jupyter notebooks and interactive tutorials covering:
| oracle_rag_with_evals | Build RAG systems with comprehensive evaluation metrics | Oracle AI Database, OpenAI, BEIR, Galileo | [![Open Notebook](https://img.shields.io/badge/Open%20Notebook-orange?style=flat-square)](./notebooks/oracle_rag_with_evals.ipynb) |
| agent_reasoning_demo | Interactive demo of 11 cognitive architectures (CoT, ToT, ReAct, Self-Reflection, and more) for agent reasoning | Ollama, agent-reasoning | [![Open Notebook](https://img.shields.io/badge/Open%20Notebook-orange?style=flat-square)](./notebooks/agent_reasoning_demo.ipynb) |
| oracle_agentic_rag_hybrid_search | Agentic RAG with vector, keyword, and hybrid search in a single SQL query using LangGraph ReAct agent | Oracle AI Database, langchain-oracledb, LangGraph, OpenAI | [![Open Notebook](https://img.shields.io/badge/Open%20Notebook-orange?style=flat-square)](./notebooks/oracle_agentic_rag_hybrid_search.ipynb) |
| f1_miami_strategy_oracle_26ai | F1 Miami GP strategy intelligence for 2026 — SQL, hybrid vector+keyword search, JSON documents, and property graph in one Oracle 26ai database using real FastF1 data | Oracle AI Database, FastF1, sentence-transformers, Plotly | [![Open Notebook](https://img.shields.io/badge/Open%20Notebook-orange?style=flat-square)](./notebooks/f1_miami_strategy_oracle_26ai.ipynb) |

### 📚 **Guides** (`/guides`)

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