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
Why Are Chatbots a Great Tool for Strategically Using Marketing Automation and AI?
Discover the synergy between chatbots, marketing automation, and AI. Learn how tools like SiteSpeakAI are revolutionizing the way businesses engage with customers and streamline marketing efforts.
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