Inside RAG

We are on the brink of a world where AI not only understands the vast expanse of the internet but also comprehends your organization's unique data landscape—providing insights, answering complex questions, and even predicting future trends based on proprietary information.

The post highlights that while ChatGPT-4o is a powerful tool, relying solely on it for financial document analysis can be risky due to inaccuracies and the limitations of its Internet search capabilities. This demonstrates the importance of RAG in scenarios like financial analysis, where precision is critical.

Here's a clear and simple way to build the best, most wonderful, amazing, perfect RAG. Let this touch of humor offer a bit of comfort on your challenging journey toward mastering RAG and building a RAG system.

By 2025 RAG is expected to become a foundational technology in corporate settings, driving advancements in data integration, secure deployments, and versatile applications across various industries.

Lately, there’s been a lot of buzz around the arrival of LLMs with large context windows — millions of tokens. Some people are already saying that this will make RAG obsolete.