https://github.com/kamaljerome/aicodingassistant

An intelligent assistant that makes programming easier by providing real-time assistance with coding questions, providing accurate responses, and producing code snippets to increase efficiency. This assistant analyzes code files using a hybrid Retrieval-Augmented Generation (RAG) model and provides answers based on the actual co
https://github.com/kamaljerome/aicodingassistant

chat-application chatgpt chatgpt-api coding generative-ai langchain openai python rag streamlit

Last synced: 3 months ago
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An intelligent assistant that makes programming easier by providing real-time assistance with coding questions, providing accurate responses, and producing code snippets to increase efficiency. This assistant analyzes code files using a hybrid Retrieval-Augmented Generation (RAG) model and provides answers based on the actual co

• Host: GitHub
• URL: https://github.com/kamaljerome/aicodingassistant
• Owner: KamalJerome
• Created: 2024-10-28T17:42:12.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-29T03:52:20.000Z (over 1 year ago)
• Last Synced: 2026-01-03T15:34:57.877Z (6 months ago)
• Topics: chat-application, chatgpt, chatgpt-api, coding, generative-ai, langchain, openai, python, rag, streamlit
• Language: Python
• Homepage: https://aicodingassistant.streamlit.app/
• Size: 28.3 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 🤖 AI Coding Assistant

An intelligent assistant designed to simplify programming by offering real-time help on coding queries, giving precise answers, and generating code snippets to boost productivity. This assistant uses a hybrid Retrieval-Augmented Generation (RAG) model to analyze code files (`.py`, `.c`, `.cpp`, etc.) and answer questions based on the code content.

## Key Features

- ✅ **Code-based Answers**: Provides context-aware responses by examining and understanding the code in your files.

- ❓ **Programming-Specific Q&A**: Restricted to only programming-related questions, delivering expert responses on various programming languages.

- 📜 **Embedded RAG Model**: Integrates a hybrid RAG model for storing and retrieving detailed programming knowledge from custom file inputs.

- 🔍 **Advanced Search and Recall**: Uses Redis for efficient data retrieval and OpenAI embeddings for relevance ranking.

- 🧩 **Interactive Console**: Simple and interactive user interface powered by Streamlit for ease of use.

## Technologies Used

- 🤖 OpenAI's `gpt-4o` for natural language understanding and response generation.

- ⚙️ `text-embedding-3-small` for code and query embeddings.

- 🧩 **Streamlit** for the front-end interface.

- 📅 **Redis** for quick, indexed access to knowledge base entries.

- 🐍 **Python** for core application logic.

## Getting Started

AI Coding Assistant has been deployed here: https://aicodingassistant.streamlit.app/

**HOW TO USE:**

1. Upload Code Files: Load your code files to initialize the assistant’s knowledge base.

2. Ask Programming Questions: Type a coding question related to your files or general programming.

3. Receive Code-Specific Answers: The assistant will respond with context-based answers, code snippets, or explanations, drawing information from the loaded code files.

## Demo Video

[![Watch the video](https://img.youtube.com/vi/DcS94kOBI4U/maxresdefault.jpg)](https://youtu.be/DcS94kOBI4U)

### [Watch this video on YouTube](https://youtu.be/DcS94kOBI4U)

## Creators

V Kamal Jerome | Shakthireka Karthikeyan | Kopika M | Deepesh Raj AY | Ashirvad Janardanan V