Concept · Building with AI
Vector database
Also called: vector DB, vector store, vector search, semantic search
A database built to store embeddings and quickly find the items closest in meaning to a question, not just the ones that share its exact words.
For example: A help center stores every article in a vector database. A customer asks about 'getting money back' and it finds the article titled 'Refund policy'.
Connects to 11
- Embedding Concept
- Database Concept
- RAG Concept
- Similarity search Concept
- Cosine similarity Concept
- Hybrid search Concept
- Latent space Concept
- Lexical search Concept
- Chunking Concept
- Dimension Concept
- Elasticsearch Tool