Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
This project uses graph convolutional neural networks to generate embeddings, and then uses Milvus retrieval to implement a recommendation system. It provides flask services and a front-end interface.
This project provides an example of consolidating Milvus (vector search engine) and PostgreSQL (relational database) to carry out the hybrid search of vectors and structured data.
This project use PANNs for audio tagging and sound event detection, and finally get audio embeddings. Then Milvus is used to search the similarity audio items.
This system contains the API server, neural models, and UI client, a neural search engine for the COVID-19 Open Research Dataset (CORD-19) , and is referred to covidex.
The biological MFA(multi-factor authentication) system ues InsightFace to extract face features and DeepSpeaker to extract voice features, and then performs hybrid authentication in Milvus.
This project implements a picture and recipe retrieval system based on milvus. That is, input a food picture and return the recipe corresponding to the picture.
