Definition
A high-performance vector similarity search engine and database written in Rust, designed to store and query high-dimensional embeddings for RAG pipelines. It provides an efficient balance between retrieval speed and memory usage by utilizing HNSW indexing, while offering the trade-off of higher RAM consumption for significantly faster semantic search compared to flat-indexing methods.
A purpose-built vector store for AI context, not a traditional relational database or a general-purpose document store.
"A high-speed GPS for a multidimensional library that flies directly to the shelf where the most similar concepts are clustered, rather than walking through every aisle."
- HNSW (Hierarchical Navigable Small World)(Prerequisite)
- Vector Embedding(Prerequisite)
- Cosine Similarity(Component)
- Payload Filtering(Component)
- Semantic Search(Component)
Conceptual Overview
A high-performance vector similarity search engine and database written in Rust, designed to store and query high-dimensional embeddings for RAG pipelines. It provides an efficient balance between retrieval speed and memory usage by utilizing HNSW indexing, while offering the trade-off of higher RAM consumption for significantly faster semantic search compared to flat-indexing methods.
Disambiguation
A purpose-built vector store for AI context, not a traditional relational database or a general-purpose document store.
Visual Analog
A high-speed GPS for a multidimensional library that flies directly to the shelf where the most similar concepts are clustered, rather than walking through every aisle.