
Engineering
Local Agentic RAG with LangGraph and Llama 3.2
In this blog post, we show you how to build a RAG system using agents with LangChain/ LangGraph, Llama 3.2, and Milvus.

Engineering
Function Calling with Ollama, Llama 3.2 and Milvus
A step-by-step guide on how to integrate Llama 3.2 with external tools like Milvus vector database and APIs to build powerful, context-aware applications.

Engineering
Kickstart Your Local RAG Setup: A Beginner's Guide to Using Llama 3 LangChain with Ollama and Milvus
Hands on guide to build a Ollama, Llama 3, and Milvus RAG

Company
Stephen Batifol - Why I Joined Zilliz
Stephen Batifol is the newly joined Developer Advocate at Zilliz.

Community
Scaling Search for AI: How Milvus Outperforms OpenSearch
Explore how Milvus matches OpenSearch in speed and scalability and surpasses it with its specialized vector search capabilities

Engineering
ColPali: Enhanced Document Retrieval with Vision Language Models and ColBERT Embedding Strategy
ColPali is an advanced document retrieval model designed to index and retrieve information directly from the visual features of documents, particularly PDFs.

Engineering
Using Similarity Search - How Not to Lose Meetup Content on the Internet
This tutorial walks you through using the Milvus vector database and sentence transformers to build a smart semantic search for your Meetup content.

Engineering
Optimizing Multi-agent Systems with Mistral Large, Mistral Nemo, and Llama-agents
Agents can handle complex tasks with minimal human intervention. Learn how to build such agents with Mistral Large, Nemo, Llama agents, and Milvus.

Community
Multimodal RAG: Expanding Beyond Text for Smarter AI
Multimodal RAG systems provide a comprehensive solution for leveraging the full spectrum of available information, providing better context to LLMs.