LlamaIndex
LlamaIndex is a Python library for structuring and indexing text data for large language models. It provides connectors, indexing strategies and retrieval components to enable context-aware queries. Suitable for retrieval-augmented generation, document search and semantic applications in production. The library supports multiple storage backends and embedding integrations.
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.