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Common
Term Plain-language explanation
abbreviation
Retrieval-
Generating an answer from passages retrieved from an
augmented RAG
external source.
generation
Dividing a document into passages suitable for indexing and
Chunking -
retrieval, ideally by meaning.
A numerical representation used to measure similarity and
Embedding -
perform semantic retrieval.
A store that holds passages as numeric representations so
Vector store - that similar meanings can be found by similarity rather than
by exact words.
Combining keyword search with semantic search to improve
Hybrid search -
retrieval.
Reordering retrieved results according to their relevance to
Reranking -
the question.
Grounding - Tying an answer to specific information or sources.
Whether the cited passage actually supports the claim
Citation faithfulness -
made from it.
Updating a model’s weights with examples for a specialized
Fine-tuning -
task or behavior.
An efficient tuning method that uses trainable low-rank
LoRA -
matrices.
Structured output - A result that follows defined fields, types, or a schema.
A system that uses a model and tools to carry out steps
Agent -
toward a goal.
A product label for agents that perform multi-step searching
Deep research -
and assemble a report; not a standardized category.
A model that runs on a device or server under the control of
Local model -
the user or the organization.
Weights made available under a license, without implying
Open-weight -
that all build components are available.
A system meeting the freedoms to use, study, modify, and
Open source AI -
share according to a published definition and license.
A set of tasks, a protocol, and measures used for
Benchmark -
comparison.
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