![Setting up Milvus on Amazon EKS](https://assets.zilliz.com/large_Setting_up_Milvus_on_Amazon_EKS_3a0c8614e8.png)
Engineering
Setting up Milvus on Amazon EKS
This blog provides step-by-step guidance on deploying a Milvus cluster using EKS and other services.
![Exploring Three Key Strategies for Building Efficient Retrieval Augmented Generation (RAG)](https://assets.zilliz.com/large_July_10_Exploring_Retrieval_Augmented_Generation_RAG_Chunking_LL_Ms_and_Evaluations_9068b59753.png)
Engineering
Exploring Three Key Strategies for Building Efficient Retrieval Augmented Generation (RAG)
Three key strategies to get the most out of RAG: smart text chunking, iterating on different embedding models, and experimenting with different LLMs
![Clearing Up Misconceptions about Data Insertion Speed in Milvus](https://assets.zilliz.com/large_June_14_Clearing_Up_Misconceptions_about_Data_Insertion_Speed_in_Milvus_45a5278d5f.png)
Engineering
Clearing Up Misconceptions about Data Insertion Speed in Milvus
Around 97% of the "Milvus insert" time in LangChain or LlamaIndex is spent on embedding generation, while about 3% on the actual database insertion step.
![🚀 What’s New with Metadata Filtering in Milvus v2.4.3](https://assets.zilliz.com/large_Metadata_Filtering_1_4284460ef0.png)
Engineering
🚀 What’s New with Metadata Filtering in Milvus v2.4.3
Milvus introduced powerful string metadata matching! Now, you can match strings using prefix, postfix, infix, and even fuzzy searches.
![How to Connect to Milvus Lite Using LangChain and LlamaIndex](https://assets.zilliz.com/large_June_07_How_to_Connect_to_Milvus_Lite_Using_Lang_Chain_and_Llama_Index_08059bacd7.png)
Product
How to Connect to Milvus Lite Using LangChain and LlamaIndex
Milvus Lite is now the default method for third-party connectors like LangChain and LlamaIndex to connect to Milvus, the popular open-source vector database.
![Choosing the Right Embedding Model for Your Data](https://assets.zilliz.com/large_May_21_Choosing_the_Right_Embedding_Model_for_Your_Data_ac7909a434.png)
Engineering
Choosing the Right Embedding Model for Your Data
This blog touched on some popular embedding models used in RAG applications.
![Running Llama 3, Mixtral, and GPT-4o](https://assets.zilliz.com/large_Running_Llama_3_Mixtral_and_GPT_4o_f3f3636266.png)
Engineering
Running Llama 3, Mixtral, and GPT-4o
This article will show a few ways to run some of the hottest contenders in the space: Llama 3 from Meta, Mixtral from Mistral, and the recently announced GPT-4o from OpenAI.
![Milvus Reference Architectures](https://assets.zilliz.com/large_Milvus_Reference_Architectures_284a835298.png)
Product
Milvus Reference Architectures
This blog addresses some commonly asked questions regarding Milvus resource allocation based on specific use cases.
![Demystifying the Milvus Sizing Tool](https://assets.zilliz.com/large_Dec_04_Sizing_Tool_Milvus_e364842d76.png)
Product
Demystifying the Milvus Sizing Tool
Explore how to use the Sizing Tool to select the optimal configuration for your Milvus deployment.