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
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
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