What is Knowledge Retrieval?
The process of extracting relevant information from a knowledge base or database, using methods like semantic search and embeddings.
More about Knowledge Retrieval:
Knowledge Retrieval is the process of identifying and extracting relevant information from structured or unstructured knowledge sources. This involves techniques like semantic search, dense retrieval, and vector databases.
Knowledge retrieval is a core component of frameworks like RAG and is crucial for tasks such as question answering and knowledge-grounded generation.
Frequently Asked Questions
What is the role of knowledge retrieval in AI systems?
It ensures that AI systems can access and use relevant information from external sources, enhancing the accuracy of responses in context-aware generation.
What techniques are commonly used in knowledge retrieval?
Techniques like dense retrieval and sparse retrieval are frequently employed for effective knowledge retrieval.
From the blog
Handling Unresolved Support Tickets: Escalating To Human Agents
As amazing and helpful as your ChatGPT powered custom chatbot might be, sometimes your customers or visitors still need a human touch. That's where escalating to human support comes in.
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