What is Retrieval Latency?
The time it takes for a retrieval system to fetch relevant information in response to a query.
More about Retrieval Latency:
Retrieval Latency refers to the delay or time required by a retrieval system to return results after receiving a query. Factors influencing retrieval latency include the size of the dataset, the complexity of retrieval models (e.g., dense retrieval vs. sparse retrieval), and the efficiency of the underlying infrastructure, such as vector databases.
Optimizing retrieval latency is critical in real-time applications like chatbots, question answering, and search engines to ensure seamless user experiences.
Frequently Asked Questions
How can retrieval latency be reduced?
Latency can be minimized by using optimized vector databases, efficient indexing techniques, and hardware acceleration.
Why is retrieval latency important in real-time systems?
Low latency ensures quick response times, improving user satisfaction in applications like context-aware generation.
From the blog

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

How SiteSpeakAI's YouTube Summarizer Can Transform Your Content Creation Strategy
Discover how SiteSpeakAI's YouTube Summarizer can revolutionize your content strategy. Learn to transform YouTube videos into SEO-optimized articles for your blog or website in under a minute. Boost engagement and search rankings effortlessly. Explore now.

Herman Schutte
Founder