What is Document Indexing?
The process of organizing and storing documents in a structured format to enable efficient retrieval.
More about Document Indexing:
Document Indexing involves processing and storing documents in a structured manner that facilitates quick and accurate retrieval. Indexing often uses techniques like sparse retrieval and dense retrieval to organize documents based on their content and relevance.
Document indexing is critical for applications like semantic search, knowledge retrieval, and retrieval-augmented generation, where efficient access to relevant information is essential.
Frequently Asked Questions
Why is document indexing important for AI systems?
It enables fast and efficient retrieval of relevant information, improving the performance of tasks like passage retrieval.
What tools are commonly used for document indexing?
Tools like Elasticsearch and vector databases are commonly employed for indexing documents in retrieval systems.
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
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