What is Question Answering (QA)?
An AI application that provides accurate and context-aware answers to user queries based on a knowledge base or retrieved data.
More about Question Answering (QA):
Question Answering (QA) is a field of AI focused on building systems that can understand user queries and provide precise answers. QA systems often integrate retrieval-based models and knowledge-grounded generation to retrieve and generate responses.
QA applications are used in domains like customer support, educational tools, and search engines, leveraging techniques like passage retrieval and contextual embeddings to deliver relevant answers.
Frequently Asked Questions
What are the key components of a QA system?
QA systems typically include components for document retrieval, passage ranking, and answer generation.
How does question answering differ from semantic search?
QA focuses on generating precise answers, while semantic search retrieves relevant documents or information.
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

Enhancing ChatGPT with Plugins: A Comprehensive Guide to Power and Functionality
Explore the world of chatgpt plugins and how they empower chatbots with features like browsing, content creation, and more. Learn how SiteSpeakAI supports plugins to make its chatbots some of the most powerful available.

Herman Schutte
Founder