#MongoDB

Leverage the integration of Node.js, Python, MongoDB, and React in creating chatbots powered by OpenAI's ChatGPT Turbo 3.5. This project offers permanent conversation retention, user management, and custom data indexing, enhanced by the Ada model and vectorization for superior memory efficiency. Seamlessly embed data with Pincones Database and modify chatbot settings effortlessly for a versatile AI interaction platform.

Discover Python through practical courses from foundational principles to advanced web development techniques, featuring FastAPI and MongoDB. The series offers detailed video tutorials on both backend and frontend development, including ChatGPT integration. Perfect for beginners and intermediate learners, this resource helps build essential coding skills and apply them to practical projects. Become part of a thriving development community to further refine your expertise and unravel the full potential of Python.

This project presents a scalable Golang backend architecture using Gin and MongoDB, incorporating JWT for authentication. It serves as a template with comprehensive implementation guides, including Docker setup and Viper configuration. Public and private API request flows are supported, with JWT middleware for token validation. It utilizes testing tools such as Testify and Mockery, with a layered architecture featuring Router and Controller.

Pongo enables PostgreSQL to function as a document database with the efficiency of JSONB, merging the benefits of MongoDB's ease of use with PostgreSQL's strong transaction reliability. Tailored for developers experienced with MongoDB, it allows similar code practices within PostgreSQL's environment. By streamlining complex JSON interactions through native PostgreSQL features, Pongo ensures excellent integration with platforms like Supabase and Vercel Postgres. While resembling a MongoDB API, it's distinctly not an ORM, instead focusing on extracting the advanced functionalities of PostgreSQL within Node.js applications.