@ -166,7 +166,7 @@ Some popular comprehensive tools to build RAG systems include [LangChain](https:
## Conclusion
In conclusion, RAG systems have evolved rapidly including the development of more advanced paradigms that enable customization and further the performance and utility of RAG across a wide range of domains. There is a huge demand for RAG applications, which has accelerated the development of methods to improve the different components of a RAG system. From hybrid methodologies to self-retrieval, these are some of the currently explored research areas of modern RAG models. There is also increasing demand for better evaluation tools and metrics. The figure below provides a recap of the RAG ecosystem, techniques to enhance RAG, challenges, and other related aspects covered in this overview:
In conclusion, RAG systems have evolved rapidly including the development of more advanced paradigms that enable customization and further the performance and utility of RAG across a wide range of domains. There is a huge demand for RAG applications, which has accelerated the development of methods to improve the different components of a RAG system. From hybrid methodologies to self-retrieval, these are some of the currently explored research areas of modern RAG models. There is also increasing demand for better evaluation tools and metrics. The figure below provides a recap of the RAG ecosystem, techniques to enhance RAG, challenges, and other related aspects covered in this overview: