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
Using AI to make learning personal and increase your online course sales
Incorporating AI into your courses allows you to create a personalized learning environment that adapts to each student's needs. This personal touch doesn't just improve the learning experience; it also makes your courses more attractive and can increase sales. Let's explore how AI can make online courses more personal and commercially successful.
Herman Schutte
Founder
Automate your customer support and marketing with Zapier and SiteSpeakAI
With the power of Zapier's 6000+ available apps and integrations, you can now connect your chatbot to your favorite tools and completely automate every aspect of your customer support and brand marketing.
Herman Schutte
Founder