A hybrid search framework, which means users can bring in several vector fields (up to 10) into a single collection. Preparations · Step 3: Perform a Hybrid Search

In this tutorial, we will demonstrate how to conduct hybrid search with Milvus and BGE-M3 model. BGE-M3 model can convert text into dense and sparse vectors.

A hybrid search is essentially a vector search with attribute filtering. By specifying boolean expressions that filter the scalar fields or the primary key ...

30 апр. 2024 г. · In this tutorial, you will learn how to leverage Milvus 2.4's hybrid search capabilities to enhance your search.

Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, ...

A hybrid search is essentially a vector search with attribute filtering. By specifying boolean expressions that filter the scalar fields or the primary key ...

27 июн. 2024 г. · Hybrid search is a core feature in Milvus that enhances data search capabilities by enabling simultaneous queries across multiple vector fields.

A tutorial demonstrates how to conduct a hybrid search with milvus: https://milvus.io/docs/hybrid_search_with_milvus.md#Hybrid-Search-with-Milvus

30 июл. 2024 г. · Hybrid search is a method that combines traditional keyword-based search (sparse search) with vector-based search (dense search) to deliver ...

A hybrid search is essentially a vector search with attribute filtering. By specifying boolean expressions that filter the scalar fields or the primary key ...