Part 4: Improving Retrieval Quality with Token-Aware Chunking and HyDE

1. 1Apply token-aware chunking to divide text into meaningful chunks
2. 2Implement HyDE to improve embedding quality
3. 3Configure context-aware search to incorporate external knowledge
4. 4Test the improved RAG model using evaluation metrics
5. 5Compare results with baseline models to measure performance gains

NLP engineers and researchers can benefit from this technique to enhance their RAG models, while data scientists can apply these methods to improve information retrieval systems

💡 Token-aware chunking and HyDE can significantly improve RAG retrieval quality by providing more accurate and informative embeddings

Boost RAG retrieval quality with token-aware chunking & HyDE!