关于作者
In Natural Language Processing (NLP) for years, striving to keep up with successive technological revolutions: Transformers in 2019, LLMs in 2022, RAG in 2023. Always with my faithful companion: Elasticsearch, which does it all with elegance.
作者文章
2025年1月20日
Graph RAG: Navigating graphs for Retrieval-Augmented Generation using Elasticsearch
Discover how to use Knowledge Graphs to enhance RAG results while storing the graph efficiently in Elasticsearch. This guide explores a detailed strategy for dynamically generating knowledge subgraphs tailored to a user’s query.