II.
KnowledgeFabricImpl overview
Reference · liveknowledge-fabric-impl:llamaindex-rag-fabric
LlamaIndex as RAG Knowledge Fabric overview
LlamaIndex as a data-framework knowledge fabric. Provides data connectors (LlamaHub) for ingesting from 100+ sources, multiple index types (vector, list, tree, keyword, knowledge graph), query engines with response synthesis, and composable sub-question decomposition. LlamaIndex is purpose-built for connecting LLMs to data — turning unstructured documents into queryable knowledge with minimal configuration. The index abstraction is its core differentiator from LangChain's chain-based approach.
Attributes
displayName
LlamaIndex as RAG Knowledge Fabric
description
LlamaIndex as a data-framework knowledge fabric. Provides data connectors
(LlamaHub) for ingesting from 100+ sources, multiple index types
(vector, list, tree, keyword, knowledge graph), query engines with
response synthesis, and composable sub-question decomposition. LlamaIndex
is purpose-built for connecting LLMs to data — turning unstructured
documents into queryable knowledge with minimal configuration. The
index abstraction is its core differentiator from LangChain's chain-based
approach.
knowledgeFileFormats
- any (via data connectors)
retrievalStrategy
hybrid
knowledgePersistence
delegated (via storage backends)
knowledgeScopes
- project
- organization
- enterprise
autoExtractionSupport
false
notes
LlamaIndex's knowledge graph index is notable — it automatically extracts
entity-relationship triples from documents and builds a queryable graph.
This enables relationship-aware retrieval that pure vector search cannot
provide. The composable index architecture allows building hierarchical
knowledge fabrics where different index types handle different knowledge
types (code vs. docs vs. decisions).
Outgoing edges
integrates_with1
- library:llama-index·LibraryLlamaIndex
realizes1
- layer:12-knowledge-fabric·LayerKnowledge Fabric
Incoming edges
None.