Update README with Enhanced RAG system instructions

README.md

@@ -36,7 +36,28 @@ git clone https://huggingface.co/DeepMostInnovations/hindi-embedding-foundationa
 cd hindi-embedding-foundational-model
 ```
 
-### Quick Start
+### Enhanced RAG System
+
+This model now includes an enhanced RAG (Retrieval Augmented Generation) system that integrates Unsloth's optimized Llama-3.2-1B-Instruct model for question answering on top of Hindi document retrieval.
+
+#### Setup and Installation
+
+1. Install additional dependencies:
+```bash
+pip install unsloth transformers bitsandbytes accelerate langchain langchain-community
+```
+
+2. Index your documents:
+```bash
+python hindi-rag-system.py --model_dir /path/to/your/model --tokenizer_dir /path/to/tokenizer --data_dir ./data --output_dir ./output --index
+```
+
+3. Run in QA mode with LLM:
+```bash
+python hindi-rag-system.py --model_dir /path/to/your/model --tokenizer_dir /path/to/tokenizer --output_dir ./output --interactive --qa
+```
+
+### Basic Embedding Usage
 
 ```python
 from hindi_embeddings import HindiEmbedder
@@ -102,6 +123,7 @@ Technical specifications:
 - Question answering
 - Document similarity comparison
 - Content-based filtering
+- RAG systems for Hindi language content
 
 ## License