English Français العربية

AI glossary

146 terms explained plainly, in English, French and Arabic.

  • 11 topics
  • English, French and Arabic

11 terms

C

Retrieval Chunking Splitting documents into smaller passages before embedding them, so search returns focused, relevant pieces. Retrieval Citations References a model attaches to its claims, pointing to the sources it used.

D

Retrieval Document AI Using AI to read, classify and extract data from documents such as invoices, contracts and forms.

G

Retrieval Grounding Basing a model's answer on supplied sources or live data rather than its memory alone.

H

Retrieval Hybrid search Combining keyword search and semantic search, so both exact terms (names, codes) and meaning are matched.

K

Retrieval Knowledge base A curated collection of an organisation's documents that an AI assistant can search to answer questions.

O

Retrieval OCR (optical character recognition) Turning images of text, such as scans, photos or PDFs, into machine-readable text.

R

Retrieval Reranking A second pass that re-orders search results with a more precise model, so the best passages reach the language model first. Retrieval Retrieval-augmented generation (RAG) Answering questions by first retrieving relevant passages from your documents and then giving them to the model as context.

S

Retrieval Semantic search Search by meaning rather than exact words, using embeddings, so 'car price' can match 'cost of a vehicle'.

V

Retrieval Vector database A database designed to store embeddings and quickly find the ones most similar to a query.