Chroma
Chroma is an open-source embedding database and a vector store for production semantic search, similarity matching, and retrieval-augmented generation. It provides persistent vector storage, efficient nearest-neighbor indexing, metadata filtering and SDKs for Python and JavaScript, enabling integration with embedding models and LLM-based applications at scale. It offers on-disk persistence and a simple HTTP API.
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.