![Metadata Filtering, Hybrid Search or Agent When Building Your RAG Application](https://assets.zilliz.com/large_Metadata_Filtering_Hybrid_Search_or_Agent_When_Building_Your_RAG_Application_463c7c1efb.png)
Engineering
Metadata Filtering, Hybrid Search or Agent When Building Your RAG Application
Using Metadata Filtering, Hybrid Search, and Agents, all integrated in Milvus, can enhance your RAG application.
![Simplifying Legal Research with RAG, Milvus, and Ollama](https://assets.zilliz.com/large_Simplifying_Legal_Research_with_RAG_Milvus_and_Ollama_66918c55d6.png)
Case Study
Simplifying Legal Research with RAG, Milvus, and Ollama
In this blog post, we will see how we can apply RAG to Legal data. Legal research can be time-consuming. You usually need to review a large number of documents to find the answers you need. Retrieval-Augmented Generation (RAG) can help streamline your research process.
![Building Intelligent RAG Applications with LangServe, LangGraph, and Milvus](https://assets.zilliz.com/large_June_24_Building_Intelligent_RAG_Applications_with_Lang_Serve_Lang_Graph_and_Milvus_29db4a5d23.png)
Engineering
Building Intelligent RAG Applications with LangServe, LangGraph, and Milvus
Build a RAG system using agents with LangServe, LangGraph, Llama 3, and Milvus.
![Local Agentic RAG with LangGraph and Llama 3](https://assets.zilliz.com/large_June_14_Local_Agentic_RAG_with_Lang_Graph_and_Llama3_c27c6fa8d7.png)
Engineering
Local Agentic RAG with LangGraph and Llama 3
In this blog post, we show you how to build a RAG system using agents with LangChain/ LangGraph, Llama 3, and Milvus.
![Multimodal RAG locally with CLIP and Llama3](https://assets.zilliz.com/large_May_09_Multimodal_RAG_locally_using_CLIP_and_Llama3_0a5751d3a3.png)
Engineering
Multimodal RAG locally with CLIP and Llama3
A tutorial walks you through how to build a multimodal RAG with CLIP, Llama3, and Milvus.
![Hybrid Search with Milvus](https://assets.zilliz.com/large_Hybrid_Search_with_Milvus_0fedf0098e.png)
Engineering
Hybrid Search with Milvus
In this tutorial, you will learn how to enhance your search by using Milvus 2.4's hybrid search capabilities.
![Kickstart Your Local RAG Setup: A Beginner's Guide to Using Llama 3 with Ollama, Milvus, and LangChain](https://assets.zilliz.com/large_Apr_19_Kickstart_Your_Local_RAG_Setup_A_Beginner_s_Guide_to_Using_Llama_3_with_Ollama_Milvus_and_Langchain_418afcfd84.png)
Engineering
Kickstart Your Local RAG Setup: A Beginner's Guide to Using Llama 3 with Ollama, Milvus, and LangChain
Hands on guide to build a Ollama, Llama 3, and Milvus RAG
![Monitoring Milvus with Grafana and Loki](https://assets.zilliz.com/large_Monitoring_Milvus_with_Grafana_and_Loki_1_58f07e3bff.png)
Engineering
Monitoring Milvus with Grafana and Loki
This post guides you through setting up Grafana and Loki to monitor your Milvus deployments effectively.
![Community and Open Source Contributions in Vector Databases](https://assets.zilliz.com/large_May_11_Community_and_Open_Source_Contributions_in_Vector_Databases_ebdf48373a.png)
Engineering
Community and Open Source Contributions in Vector Databases
Open-source vector databases drive innovation in handling complex data through global community collaboration, enhancing scalability and performance.