Semantic Search

Practical Milvus 2.5: Semantic Search vs Full-Text Search vs Hybrid Search

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Practical Milvus 2.5: Semantic Search vs Full-Text Search vs Hybrid Search

Milvus is a vector database that has long focused on embedding-based vector search capabilities, providing high accuracy, high performance, and highly scalable semantic search functions for applications like RAG. With the advent of the large model era bringing various new application explorations, the community has re-recognized the benefits of combining traditional text-matching precise search with … Read more

How Agentic RAG Addresses Limitations of Traditional RAG

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How Agentic RAG Addresses Limitations of Traditional RAG

In this article, we will explore how Agentic RAG helps to address the limitations of traditional RAG. RAG Framework The RAG (Retrieval-Augmented Generation) framework operates in a specific sequence: Document -> Document Fragments -> Vector Database -> Fragment Retrieval (Top K) -> Large Language Model (LLM) However, this order encounters obstacles when handling certain types … Read more