Using LlamaIndex with Elasticsearch for Enhanced Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG) is a technique that combines retrieval and generation capabilities. It effectively addresses some issues of large language models (LLMs), such as hallucinations and knowledge limitations. With the evolution of RAG, vector technology involved in RAG has gained attention, and vector databases have become more…