Chatter

🧠 Chatter: Modular RAG-RLHF Chatbot

Chatter is a document-aware conversational AI framework that combines:

• RAG (Retrieval-Augmented Generation) for grounded responses
• RLHF (Reinforcement Learning from Human Feedback) for continuous improvement

🔧 Features

• Embedding + Vector Store (FAISS/ChromaDB)
• LangChain-powered retrieval & response pipeline
• Quantized LLM with real-time caching and fallback
• Feedback loop for collecting (Question, Answer, Rating) pairs
• Lightweight deployment via Docker or Render

🎯 Use Cases

• Domain-specific assistants (legal, medical, enterprise, etc.)
• Internal knowledge bots
• Custom LLM training pipelines

🧰 Stack

LangChain • OpenAI / Hugging Face • FAISS • ChromaDB • FastAPI • RLHF

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