Take-Home RAG Challenges
The best way to predict the future is to invent it.
—Alan Kay
RAG has unlocked new possibilities for AI by seamlessly combining retrieval and generation. Yet, the most exciting potential lies in what remains unexplored. Adapting RAG for specialized domains such as law, medicine, and finance demands precision, creativity, and technical depth. Challenges such as optimizing embeddings, fine-tuning for specific applications, and integrating real-time data streams push the limits of existing implementations. The complexity intensifies in multi-modal scenarios, where text meets images, code, or even live environments.
This chapter presents a high-level challenge: take these advanced ideas and transform them into actionable projects. Experiment with new retrieval mechanisms, redefine performance benchmarks, and innovate across modalities. Imagine novel applications and engineer systems that adapt dynamically to ever-changing information...
