Weaviate
Open-source vector database with hybrid keyword and vector search built in.
Overview
Weaviate is an open-source vector database that combines vector similarity with keyword search in a single query, a technique usually called hybrid search. It solves the problem that pure vector search can miss exact matches: identifiers, error codes and rare terms are poorly represented in embedding space but trivially matched by keywords. It exists because most real corpora need both. It can be self-hosted or consumed as a managed service.
Technology Graph
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Uses and depends on
- Embedding concept Techniques Weaviate uses Embedding High ✓ source
Tools
Software that implements or integrates with Weaviate.
LLM Frameworks
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