Build and deploy AI-driven assistants with our OpenAI Assistants Template. This tutorial provides a hands-on approach to using OpenAI's Assistant API, complete with code modules, interactive Jupyter Notebook examples, and best practices to get you started on creating intelligent conversational agents.

An AI-powered assistant built using Python, Jupyter Notebook and OpenAI's API.

Langchain_AI_Assistant is a flexible notebook-based AI assistant built with LangChain, enabling retrieval, prompt chaining and smart responses. Ideal for prototyping conversational agents or task-oriented bots, it lets you rapidly integrate LLMs, vector databases and custom logic into a notebook workflow.

Aether Desk is a lightweight, open-source client built for privacy, speed, and seamless integration within the Aether Office ecosystem

RAG-Based Medical Assistant is a Python-based AI tool for healthcare professionals. It uses RAG to query the Merck Manuals, aiding diagnostics, drug info, treatment plans, and critical care protocols. Implemented as a Jupyter notebook with LangChain and Chroma.