Retrieval Augmented Generation (RAG) example using Langchain (loader), Chroma (vector database), Hugging Face sentence-transformers (embeddings) and MLX (LLM).

This example code was tested with these models:

• mlx-community/gemma-2-9b-it-4bit
• mlx-community/Phi-3-mini-128k-instruct-4bit
• mlx-community/WizardLM-2-7B-4bit
• mlx-community/gemma-1.1-7b-it-4bit
• mlx-community/Mistral-7B-Instruct-v0.2-4bit
• mlx-community/Mixtral-8x7B-Instruct-v0.1-hf-4bit-mlx

pip install -r requirements.txt
python main.py

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