Soccer News FAQs

Question 1

What is Soccer News?

Accepted Answer

Soccer News is an AI-powered tool that fetches, processes, and analyzes soccer news from various RSS feeds using RAG (Retrieval Augmented Generation) and sentiment analysis for deep insights.

Question 2

How does Soccer News perform semantic search and sentiment analysis?

Accepted Answer

It uses local machine learning models (Xenova/transformers.js) to generate 384-dimensional vector embeddings for semantic search (RAG) and determine article sentiment (positive/negative), storing data efficiently with PostgreSQL and pgvector.

Question 3

What are the key benefits of using local ML models in Soccer News?

Accepted Answer

Utilizing local ML models (like Xenova/all-MiniLM-L6-v2 and distilbert) ensures no API costs, keeps data private, and offers fast, efficient processing directly on your machine for embeddings and sentiment analysis.

Question 4

How does Soccer News handle efficient data storage and retrieval?

Accepted Answer

It leverages PostgreSQL 16+ with the pgvector extension and HNSW indexes, enabling highly efficient storage, querying, and vector similarity search across thousands of articles with impressive performance.

Question 5

What kind of news sources does Soccer News support?

Accepted Answer

Soccer News fetches articles from over 10 free RSS sources, including popular ones like BBC Sport, ESPN, and The Guardian, ensuring a broad coverage of soccer news.

Soccer News

Soccer News

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主な機能

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