Enhancing hybrid information retrieval with hyperdimensional computing: a framework for efficient and robust knowledge-intensive NLP
Retrieval-Augmented Generation (RAG) has emerged as a practical framework for augmenting large language models (LLMs) with external knowledge sources. However, standard RAG pipelines often remain computationally intensive and exhibit sensitivity to input noise, particularly in real-world scenarios where queries can be...