Indexing
Indexing is the process of organizing and storing data in a structured format so it can be efficiently searched, retrieved, and used by an AI system.
What is Indexing?
Indexing converts or organizes information into a searchable structure, often by creating indexes over documents, text, metadata, or embeddings. In AI applications, indexing allows relevant information to be located quickly when a user submits a query.
Why is Indexing Important?
Efficient indexing reduces the time and computational resources required to retrieve relevant information. It is especially important for AI systems that work with large knowledge bases, where searching through every document or data point for each query would be inefficient.
Common use cases
Indexing is commonly used in RAG systems, vector databases, search engines, enterprise knowledge bases, document retrieval, semantic search, and AI-powered question-answering systems.