Definition
An open-source, AI-native vector database designed to store and query high-dimensional embeddings for retrieval-augmented generation (RAG). It simplifies the storage of document metadata alongside vectors, allowing for efficient semantic search and context injection into LLM prompts.
A vector store for semantic search, not a color model or browser engine.
"A warehouse where items are stored by 'vibe' and conceptual similarity rather than alphabetical labels, allowing for rapid retrieval of related items."
- Vector Embedding(Prerequisite)
- Semantic Search(Core Functionality)
- HNSW(Underlying Algorithm)
- Pinecone(Cloud-Native Alternative)
Conceptual Overview
An open-source, AI-native vector database designed to store and query high-dimensional embeddings for retrieval-augmented generation (RAG). It simplifies the storage of document metadata alongside vectors, allowing for efficient semantic search and context injection into LLM prompts.
Disambiguation
A vector store for semantic search, not a color model or browser engine.
Visual Analog
A warehouse where items are stored by 'vibe' and conceptual similarity rather than alphabetical labels, allowing for rapid retrieval of related items.