KNOWLEDGE
Weaviate
An open-source vector database with built-in hybrid (keyword + semantic) search, used for content retrieval.
- Category Knowledge
Technology Overview
What Is Weaviate?
Weaviate is an open-source vector database that combines vector similarity search with traditional keyword search (hybrid search), and can be self-hosted or run as a managed cloud service.
At a Glance
Key Capabilities
- Weaviate supports hybrid vector-plus-keyword search, metadata filtering, and both self-hosted and managed deployment options.
How Cortex Uses It
Cortex Texas AI uses Weaviate as one of the available vector-database options for RAG and knowledge-retrieval systems, selected when a project benefits from hybrid semantic-plus-keyword retrieval.
- Accuracy
- Latency
- Cost
- Privacy
- Integration
- Multimodal Needs
- Reasoning Depth
Connectivity
Integration Scenarios
-
01
Common integration scenarios include document-search and knowledge-assistant systems where pure semantic search alone under- or over-retrieves relevant results and a hybrid approach performs better.
Model Selection
The Right Model Depends on the Workload
Weaviate is one of several vector database options Cortex Texas AI can integrate with, alongside providers such as Qdrant, Pinecone and PostgreSQL's pgvector extension; the specific choice depends on the project.
Ready to Explore What AI Can Do for Your Business?
Talk with our team about where AI and automation could realistically create value in your operations.