Definition
Weaviate is an open-source vector database that allows for the storage and retrieval of data objects and their corresponding vector embeddings, specifically optimized for low-latency semantic search in RAG pipelines. It balances high-performance HNSW-based indexing with modularity, though it presents trade-offs between RAM consumption and search speed when scaling high-dimensional datasets.
An AI-native vector database, not a traditional relational database (SQL) or a text-only search engine.
"A multidimensional library where books with similar themes automatically float toward each other, regardless of their title or author name."
- Vector Database(Category)
- Hybrid Search(Core Feature)
- Embedding(Prerequisite)
- Semantic Search(Function)
Conceptual Overview
Weaviate is an open-source vector database that allows for the storage and retrieval of data objects and their corresponding vector embeddings, specifically optimized for low-latency semantic search in RAG pipelines. It balances high-performance HNSW-based indexing with modularity, though it presents trade-offs between RAM consumption and search speed when scaling high-dimensional datasets.
Disambiguation
An AI-native vector database, not a traditional relational database (SQL) or a text-only search engine.
Visual Analog
A multidimensional library where books with similar themes automatically float toward each other, regardless of their title or author name.