A RAG (Retrieval-Augmented Generation) system for querying personal expense data using natural language. Built with FastAPI, PostgreSQL (with pgvector), and Ollama 3.2. expense-rag-system/ ├── app/ │ ...
├── backend FastAPI REST API service │ ├── app │ │ ├── auth.py API key authentication │ │ ├── crud.py Business logic for API endpoints │ │ ├── main.py FastAPI entrypoint ...
Abstract: This paper provides a performance evaluation of a dynamic RESTful API architecture suitable for IoT deployments. The framework, developed with Python's FastAPI, PostgreSQL, and Nginx and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results