Information Retrieval
The process of searching for and identifying relevant documents, data, or information in response to a user query.
Information Retrieval
Information retrieval is the process of searching and finding relevant content in response to a user query. Rather than generating new knowledge, it focuses on locating documents, passages, records, or structured data that best match the user’s intent.
What Is Information Retrieval
Information retrieval (IR) systems index available data sources and rank candidate results by relevance. These systems are used in web search, enterprise knowledge portals, legal discovery, and multilingual information access.
How Information Retrieval Systems Work
Most IR systems follow a pipeline: document ingestion, indexing, query processing, relevance scoring, and result ranking. Modern systems combine lexical matching (keywords, BM25) with semantic retrieval (vector embeddings) to improve precision and recall.
Role of Information Retrieval in AI and Search Technologies
Retrieval enables AI applications to access grounded context before reasoning or generation. It helps reduce irrelevant responses by prioritising evidence from trusted corpora, documentation sets, and domain-specific repositories.
Information Retrieval in Retrieval-Augmented Generation (RAG)
In RAG pipelines, retrieval happens before text generation. The model receives selected passages as context and uses them to answer with better factual alignment. Retrieval quality directly affects output quality, citation accuracy, and hallucination control.
Applications in Language Technologies and Knowledge Systems
In translation and localisation, IR supports terminology lookup, concordance search, translation memory reuse, and domain adaptation. In broader AI knowledge systems, it supports internal assistants, document question answering, and policy-compliant enterprise search.
Related Terms
Inference
The process by which a trained model generates translations or other outputs.
Intellectual Property Rights in MT
Rules defining ownership of source texts, translations, and AI-generated outputs.
Interoperability
The ability of different software systems, tools, or platforms to exchange and use information effectively.
Related Resources
Data Privacy
Protection of personal or sensitive information during processing, transfer, and storage.
Document-level Machine Translation
Translation approaches that process full documents rather than isolated segments.
Jaccard Similarity
A statistical measure used to evaluate the similarity between two sets, often applied in text analysis and information retrieval.
JSON (JavaScript Object Notation)
A lightweight data-interchange format widely used for transmitting structured information between systems and APIs.
XML (Extensible Markup Language)
A structured markup language used to encode documents and data in a format that can be processed by both humans and machines.
Zero Data Retention
A mode in which user data is deleted almost immediately after processing.