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| title: Hawkins Archive RAG (Stranger Things) | |
| emoji: ๐ | |
| colorFrom: green | |
| colorTo: red | |
| sdk: docker | |
| sdk_version: "3.10" | |
| app_file: app.py | |
| pinned: true | |
| # ๐ Hawkins Archive RAG โ Stranger Things Chatbot | |
| A **Retrieval-Augmented Generation (RAG)** chatbot that answers questions about the **Stranger Things universe** using **semantic search + context-grounded generation**. | |
| ๐ **Live Demo:** https://huggingface.co/spaces/siddheshrj/Stranger_things_rag | |
| --- | |
| ## ๐ What this Space does | |
| This chatbot: | |
| - Takes your question (example: **"Who is Mike Wheeler?"**) | |
| - Retrieves the most relevant context from the Stranger Things knowledge base | |
| - Generates a natural response using an LLM | |
| - Ensures answers are structured with **relationships, role/passion, and iconic traits** | |
| --- | |
| ## โจ Features | |
| โ Context-aware answers using RAG (reduces hallucination) | |
| โ Stranger Things themed UI (Hawkins Lab vibe) | |
| โ Fast retrieval using embeddings + similarity search | |
| โ Character-focused response formatting | |
| โ Hosted & deployed on Hugging Face Spaces (Docker) | |
| --- | |
| ## ๐ง How RAG Works (Simple) | |
| RAG = **Retrieve + Generate** | |
| 1. **Retrieve:** find relevant context chunks using embeddings | |
| 2. **Generate:** pass context + question to LLM for final answer | |
| This makes responses more accurate and grounded compared to plain chatbots. | |
| --- | |
| ## ๐ ๏ธ Tech Stack | |
| - **LangChain** (RAG pipeline) | |
| - **Embeddings** | |
| - **Vector Database / Similarity Search** | |
| - **LLM API** | |
| - **Docker** | |
| - **Hugging Face Spaces** | |
| --- | |
| ## โ Example Questions to Try | |
| ### Easy | |
| - Who is Eleven? | |
| - What is the Upside Down? | |
| - Who are Mikeโs best friends? | |
| ### Medium | |
| - Explain Hawkins Lab in short | |
| - How is Will connected to the Upside Down? | |
| ### Hard / Complex | |
| - Connect Hawkins Lab, Vecna, and the Upside Down in one explanation. | |
| - How does Mikeโs leadership evolve from Season 1 to Season 4? | |
| --- | |
| ## ๐ฎ Future Improvements | |
| - Add chat memory (multi-turn conversation) | |
| - Add citations / sources in answers | |
| - Improve retrieval accuracy (better chunking + reranking) | |
| - Multi-agent support (MCP + tools) | |
| - Multimodal extension (image + text) | |
| --- | |
| ## ๐ค Author | |
| **Siddhesh Jajurley** | |
| Hugging Face: https://huggingface.co/siddheshrj | |