What is Semantic Search?
A search method that uses embeddings to understand the meaning behind queries and documents, enhancing retrieval relevance.
More about Semantic Search:
Semantic Search is a method that goes beyond keyword matching to understand the intent and meaning behind user queries. It leverages embeddings generated by models like contextual embeddings to perform similarity-based matching between queries and documents.
Semantic search is widely used in retrieval augmentation pipelines, recommendation systems, and knowledge retrieval, providing accurate and context-aware results for user queries.
Frequently Asked Questions
How does semantic search improve traditional search methods?
It captures the meaning and intent of queries, making retrieval more accurate and contextually relevant compared to sparse retrieval.
What technologies power semantic search?
Technologies like dense retrieval, embeddings, and vector databases are integral to semantic search systems.
From the blog

Mastering Undetectable AI Content: Techniques and Tools
Learn effective methods to create AI-generated content that passes detection tools. Discover which techniques work best for producing high-quality, undetectable AI articles.

Herman Schutte
Founder

Fixing your Image Alt tags and SEO issues with AI
Optimizing your website's SEO can be complex and time-consuming, especially when it comes to image alt tags, title tags, and structured data. Sitetag, an AI-powered SEO tool, makes this process effortless. With just one script tag, Sitetag automatically enhances your website’s SEO elements, ensuring better search visibility and improved user experience—all without the manual work. Ready to simplify your SEO? Discover how Sitetag can transform your site today.

Herman Schutte
Founder