rent-management-system/Rental-Management-System-multi-lingual-chat-bot-

Create a production-ready multilingual chatbot for the Rental Management System using Vector Database + Local Embeddings for knowledge retrieval, supporting Amharic, English, and Afan Oromo with dynamic language switching. --- title: Multilingual Chatbot emoji: 💻 colorFrom: blue colorTo: green sdk: docker sdk_version: '1.0' app_file: app.main:app pinned: true short_description: a multilingual chatbot backend using FastAPI, LangGraph --- # Multilingual Chatbot Backend This project implements a multilingual chatbot backend using FastAPI, LangGraph, Google Gemini 2.0 Flash, and FAISS. It provides a REST API to answer user queries in English, Amharic, and Afaan Oromo, leveraging a knowledge base derived from various documents. ## Features * **Multilingual Support:** Auto-detects query language and responds in the same language (English, Amharic, Afaan Oromo). * **Knowledge Base:** Answers based on `translation.json`, `translation copy.json`, `translation copy 2.json`, `Faq.txt`, and `Final project 1-4 final.docx`. * **FastAPI:** High-performance web framework. * **LangGraph:** For building the RAG (Retrieval-Augmented Generation) pipeline. * **Google Gemini 2.0 Flash:** For powerful and multilingual text generation. * **FAISS:** Efficient similarity search for retrieving relevant information from the knowledge base. * **Render Free Tier Optimized:** Designed for deployment on Render's free tier with in-memory FAISS and minimal resource usage. * **Comprehensive Testing:** Includes unit tests with `pytest`. ## Tech Stack * **Backend:** Python 3.12.3 * **Web Framework:** FastAPI * **RAG Framework:** LangGraph * **LLM:** Google Gemini 2.0 Flash * **Vector Store:** FAISS (in-memory, CPU) * **Embeddings:** `sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2` * **Dependency Management:** `pip` with `requirements.txt` ## Setup and Local Development ### 1. Clone the Repository ```bash git clone cd rent-mag-chatBot ``` ### 2. Create a Virtual Environment ```bash python3.12 -m venv .venv source .venv/bin/activate ``` ### 3. Install Dependencies ```bash pip install -r requirements.txt ``` ### 4. Configure Google Gemini API Key Obtain a Google Gemi …