What is a Bi-Encoder?
An encoder that independently generates embeddings for queries and documents for scalable retrieval.
More about Bi-Encoder:
Bi-Encoders independently encode queries and documents into vector embeddings, allowing for efficient similarity computation in vector databases. While less accurate than cross-encoders, bi-encoders are computationally efficient, making them ideal for large-scale retrieval tasks like dense retrieval.
Bi-encoders are a core component in systems like retrieval augmentation pipelines and semantic search, enabling fast and scalable retrieval.
Frequently Asked Questions
What are the advantages of bi-encoders?
They enable efficient and scalable retrieval by precomputing embeddings for queries and documents.
How do bi-encoders compare to cross-encoders?
Bi-encoders are faster and more scalable but less accurate than cross-encoders, which analyze query-document interactions.
From the blog
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
Unleashing the Power of AI: Adding a ChatGPT Chatbot to Your Website
An AI chatbot can serve as a dynamic tool to improve your site's user experience by providing instant, accurate responses to your visitors' queries. However, not all chatbots are created equal.
Herman Schutte
Founder