In the era of Large Language Models (LLMs), the search for generating responses with relevance has led to the emergence of Retrieval Augmented Generation (RAG). As LLMs are trained on large amounts of data available in the public domain until a specific date, this poses two problems: One is that it won’t be able to …

Choosing the Right Database for Retrieval Augmentation Generation (RAG): VectorDB vs. GraphDB  Read More »