information retrieval

Vector Database

A vector database stores embeddings and performs similarity search for semantic retrieval, recommendations, and retrieval-augmented generation.

Jul 18, 2026 by Daniel Mercer • 1 min read

Semantic Search

Semantic search uses embeddings to retrieve information by meaning and context, finding relevant results even when documents use different words.

Jul 4, 2026 by Daniel Mercer • 1 min read

Retrieval-Augmented Generation (RAG)

Retrieval-augmented generation (RAG) combines search with generative AI so responses use relevant documents, current data, and source context.

Jun 19, 2026 by Daniel Mercer • 1 min read

Named Entity Recognition (NER)

By Daniel Mercer May 6, 2026 • 1 min read

Named entity recognition (NER) is an NLP task that finds and classifies people, places, organizations, dates, products, and other entities in text.

Knowledge Graph

By Daniel Mercer Mar 23, 2026 • 1 min read

A knowledge graph organizes entities and their relationships so AI systems can connect facts, answer questions, and retrieve structured context.

Web Scraping

By Marcus Lee Mar 13, 2026 • 1 min read

Web scraping extracts structured data from webpages for analysis or AI workflows while requiring validation, provenance, privacy, and access compliance.

Web Crawler

By Marcus Lee Mar 6, 2026 • 1 min read

A web crawler is an automated program that discovers and visits linked web pages for search indexing, monitoring, retrieval, or AI data collection.

#InformationRetrieval

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