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context-aware-ai

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prdepyadv / ClassifyXR.ai

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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.

flask json validation json-schema logging mmr parallel-processing rag pydantic instructor llm prompting genai local-llm ollama genai-usecase mistral-7b llama3 context-aware-ai
  • Updated Aug 25, 2024
  • Python

Dhruvpatel004 / RAG-ChatBot-Streamlit-Ollama-MongoDB-ChromaDB

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🤖 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

python open-source mongodb chatbot embedding-models rag streamlit vector-database ai-assistant llm chromadb local-llm ollama rag-application context-aware-ai memory-augmented-ai langchain-alternative chatbot-with-memory
  • Updated Jul 6, 2025
  • Python

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