What is Document Retrieval?
The process of retrieving relevant documents from a collection, often powered by vector embeddings and semantic search.
More about Document Retrieval:
Document Retrieval focuses on identifying and fetching documents relevant to a given query from a large collection. It leverages techniques such as dense retrieval and semantic search to locate the most relevant content.
Document retrieval is a fundamental building block for applications like RAG and open-domain question answering, where large-scale knowledge access is required.
Frequently Asked Questions
How does document retrieval differ from knowledge retrieval?
Document retrieval focuses on retrieving entire documents, while knowledge retrieval may extract specific pieces of information.
What tools are commonly used for document retrieval?
Tools like vector databases and search frameworks with embedding-based models are often used for document retrieval.
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
How AI Chatbots Can Save You 100s Of Hours In Customer Support
Dive into the transformative power of AI chatbots in customer support. Learn how businesses can save significant time and enhance customer satisfaction, with a look at tools like SiteSpeakAI.
Herman Schutte
Founder