![GraphRAG Explained: Enhancing RAG with Knowledge Graphs](https://assets.zilliz.com/large_Graph_RAG_Explained_Enhancing_RAG_with_Knowledge_Graphs_5d49ba839e.png)
Engineering
GraphRAG Explained: Enhancing RAG with Knowledge Graphs
GraphRAG is a new technique that augments RAG retrieval and generation with knowledge graphs.
![How to Enhance the Performance of Your RAG Pipeline](https://assets.zilliz.com/large_How_to_Enhance_the_Performance_of_Your_RAG_Pipeline_be0465d785.png)
Engineering
How to Enhance the Performance of Your RAG Pipeline
This article summarizes various popular approaches to enhancing the performance of your RAG applications. We also provided clear illustrations to help you quickly understand these concepts and techniques and expedite their implementation and optimization.
![Key NLP technologies in Deep Learning](https://assets.zilliz.com/large_Key_NLP_Technologies_in_Deep_Learning_e7989aa0a4.png)
Engineering
Key NLP technologies in Deep Learning
An exploration of the evolution and fundamental principles underlying key Natural Language Processing (NLP) technologies within Deep Learning.
![How to Evaluate RAG Applications](https://assets.zilliz.com/large_How_to_evaluate_RAG_517731a365.png)
Engineering
How to Evaluate RAG Applications
A comparative analysis of evaluating RAG applications, addressing the challenge of determining their relative effectiveness. It explores quantitative metrics for developers to enhance their RAG application performance.
![Mastering LLM Challenges: An Exploration of Retrieval Augmented Generation](https://assets.zilliz.com/large_RAG_handbook_f5ad3ae4fc.png)
Engineering
Mastering LLM Challenges: An Exploration of Retrieval Augmented Generation
This four-part series handbook looks into RAG, exploring its architecture, advantages, the challenges it can address, and why it stands as the preferred choice for elevating the performance of generative AI applications.
![OpenAI RAG vs. Your Customized RAG: Which One Is Better?](https://assets.zilliz.com/large_Dec_13_Open_AI_s_Chat_GPT_and_the_new_AI_Stack_Chat_GPT_your_Vector_Database_and_Prompt_as_code_c650c551fd.png)
Engineering
OpenAI RAG vs. Your Customized RAG: Which One Is Better?
Comparing the performance of the OpenAI Assistants-enabled RAG system and the Milvus-powered customized RAG system.
![Optimizing RAG Applications: A Guide to Methodologies, Metrics, and Evaluation Tools for Enhanced Reliability](https://assets.zilliz.com/large_Dec_27_How_to_Evaluate_An_RAG_System_1_c62bfb2f56.png)
Engineering
Optimizing RAG Applications: A Guide to Methodologies, Metrics, and Evaluation Tools for Enhanced Reliability
Methodologies, metrics, and tools used to evaluate RAG applications.
![Improving ChatGPT’s Ability to Understand Ambiguous Prompts](https://assets.zilliz.com/large_Do_You_Really_Know_How_to_Write_Prompts_20231031_083836_821b2e5ac6.png)
Engineering
Improving ChatGPT’s Ability to Understand Ambiguous Prompts
Prompt engineering technique helps large language models (LLMs) handle pronouns and other complex coreferences in retrieval augmented generation (RAG) systems.