Virtual Coding Assistant for DiPY

Welcome to the Virtual Coding Assistant for DiPY repository! This assistant leverages cutting-edge technologies such as Python, Transformers, Vector Databases, Retrieval-Augmented Generation (RAG), LangChain, and Large Language Models (LLMs) to enhance coding productivity and efficiency within the DiPY (Diffusion Imaging in Python) codebase.

Project Overview

The Virtual Coding Assistant is designed to help developers interactively write, debug, and understand code in the DiPY environment. Using a locally hosted LLM integrated with the LangGraph RAG pipeline, the assistant provides real-time coding insights and solutions.

Features

• Code Generation: Automatically generate code snippets based on natural language prompts.
• Prompt Engineering: Utilize advanced prompt engineering techniques to interpret complex coding queries effectively.
• Debugging Assistance: Offer suggestions for debugging and optimizing code.
• Documentation Aid: Instantly fetch and display relevant portions of documentation within the coding environment.

Getting Started

Follow these instructions to set up the Virtual Coding Assistant on your local machine for development and testing purposes.

Prerequisites

• Python 3.8+
• Installation of DiPY
• Access to a local or cloud-based LLM

Installation

1. Clone the repository: ```bash git clone https://github.com/aayush9400/dipy_code_assistant

Built With

• jupyter-notebook
• python