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@ -1142,77 +1142,6 @@ When merging entities:
</details> </details>
## Entity Merging
<details>
<summary> <b>Merge Entities and Their Relationships</b> </summary>
LightRAG now supports merging multiple entities into a single entity, automatically handling all relationships:
```python
# Basic entity merging
rag.merge_entities(
source_entities=["Artificial Intelligence", "AI", "Machine Intelligence"],
target_entity="AI Technology"
)
```
With custom merge strategy:
```python
# Define custom merge strategy for different fields
rag.merge_entities(
source_entities=["John Smith", "Dr. Smith", "J. Smith"],
target_entity="John Smith",
merge_strategy={
"description": "concatenate", # Combine all descriptions
"entity_type": "keep_first", # Keep the entity type from the first entity
"source_id": "join_unique" # Combine all unique source IDs
}
)
```
With custom target entity data:
```python
# Specify exact values for the merged entity
rag.merge_entities(
source_entities=["New York", "NYC", "Big Apple"],
target_entity="New York City",
target_entity_data={
"entity_type": "LOCATION",
"description": "New York City is the most populous city in the United States.",
}
)
```
Advanced usage combining both approaches:
```python
# Merge company entities with both strategy and custom data
rag.merge_entities(
source_entities=["Microsoft Corp", "Microsoft Corporation", "MSFT"],
target_entity="Microsoft",
merge_strategy={
"description": "concatenate", # Combine all descriptions
"source_id": "join_unique" # Combine source IDs
},
target_entity_data={
"entity_type": "ORGANIZATION",
}
)
```
When merging entities:
* All relationships from source entities are redirected to the target entity
* Duplicate relationships are intelligently merged
* Self-relationships (loops) are prevented
* Source entities are removed after merging
* Relationship weights and attributes are preserved
</details>
## Multimodal Document Processing (RAG-Anything Integration) ## Multimodal Document Processing (RAG-Anything Integration)
LightRAG now seamlessly integrates with [RAG-Anything](https://github.com/HKUDS/RAG-Anything), a comprehensive **All-in-One Multimodal Document Processing RAG system** built specifically for LightRAG. RAG-Anything enables advanced parsing and retrieval-augmented generation (RAG) capabilities, allowing you to handle multimodal documents seamlessly and extract structured content—including text, images, tables, and formulas—from various document formats for integration into your RAG pipeline. LightRAG now seamlessly integrates with [RAG-Anything](https://github.com/HKUDS/RAG-Anything), a comprehensive **All-in-One Multimodal Document Processing RAG system** built specifically for LightRAG. RAG-Anything enables advanced parsing and retrieval-augmented generation (RAG) capabilities, allowing you to handle multimodal documents seamlessly and extract structured content—including text, images, tables, and formulas—from various document formats for integration into your RAG pipeline.