Weaviate
Weaviate is an open-source vector search engine and knowledge-graph database designed for semantic search, similarity retrieval and retrieval-augmented generation. It stores vectors, metadata and graph relations, providing scalable vector indexes, built-in ML connectors, and REST/GraphQL APIs for production semantic applications. Teams use it to store embeddings and integrate LLMs via modular connectors.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Reference building block
This building block serves as a structured reference in the knowledge model, with core data, context, and direct relationships.
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.