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context-aware-ai

Here are 10 public repositories matching this topic...

🤖 NoCapGenAI is a Retrieval-Augmented Generation (RAG) chatbot built with Streamlit, Ollama, MongoDB, and ChromaDB. It features a clean, modern UI and persistent vector memory for context-aware conversations. Easily integrates with Ollama-supported models like phi3:mini, llama3, mistral, and more. Designed to support customizable assistant modes

  • Updated Jul 6, 2025
  • Python

The Customer Support Ticket Classification and Response System combines advance AI models with RAG to automate and elevate ticket categorisation and response generation. By leveraging multi-model integration, sentiment analysis, urgency detection, and vector-based retrieval, it delivers precise, context-aware responses and actionable insights.

  • Updated Aug 25, 2024
  • Python

An intelligent, context-aware Q&A backend powered by Groq LLM and Django REST Framework. Supports real-time chat, multi-turn memory, and blazing-fast responses. Seamlessly integrates with a React frontend available in a separate repo.

  • Updated Jul 23, 2025
  • Python

Artificial-intuition–driven pattern recognition system under high noise & scarce data environments. Validated on real-world datasets with proven generalization, robustness & scalability.

  • Updated Oct 29, 2025
  • Python

A lightweight Retrieval-Augmented Generation (RAG) agent powered by Groq AI and local embeddings, built to process and understand text data efficiently. It retrieves relevant context from your own files and generates accurate, natural-language responses -all while keeping your data private and running locally.

  • Updated Nov 6, 2025
  • Python

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