Local AI Glossary
What is Vector database?
Source: local-llm.net/glossary
A specialized database designed to store, index, and search high-dimensional vectors (embeddings) efficiently. Used in RAG pipelines to find documents semantically similar to a query. Popular vector databases for local use include ChromaDB, Qdrant, Milvus, FAISS, and Weaviate.
How Vector database fits in the local AI stack
Vector database 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