Chunking Strategies for Efficient RAG Systems
In this blog post, we’ll focus on how chunking strategies, which involve dividing large datasets or documents into smaller, meaningful segments, can significantly enhance the retrieval phase of RAG systems. A Quick Recap Large language models (LLMs) do not have all the information you need, especially for specific topics like your company’s data. RAG helps […]