Local AI Glossary
What is Semantic search?
Source: local-llm.net/glossary
Finding documents based on meaning rather than keyword matching. Semantic search uses embedding models to convert text into vectors and then finds the most similar vectors. It is the core retrieval mechanism in RAG pipelines, enabling queries like "explain memory management" to find documents about "RAM allocation" and "VRAM usage."
How Semantic search fits in the local AI stack
Semantic search is part of the broader local AI ecosystem. See the related guides, comparisons, and tools below to see how it applies in practice.
See also
- Full Local AI Glossary
- All learn topics
- What is Local AI?
- Quantization explained
- Hardware requirements
- How to choose a local LLM