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libs/langchain-mongodb/langchain_mongodb/graphrag/example_templates.py
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"""These prompts serve as defaults, and templates when you wish to override them. | ||
LLM performance can be greatly increased by adding domain-specific examples. | ||
""" | ||
|
||
entity_extraction = """ | ||
## Examples | ||
Use the following examples to guide your work. | ||
### Example 1: Constrained entity and relationship types: Person, Friend | ||
#### Input | ||
Alice Palace has been the CEO of MongoDB since January 1, 2018. | ||
She maintains close friendships with Jarnail Singh, whom she has known since May 1, 2019, | ||
and Jasbinder Kaur, who she has been seeing weekly since May 1, 2015. | ||
#### Output | ||
(If `allowed_entity_types` is ["Person"] and `allowed_relationship_types` is ["Friend"]) | ||
{{ | ||
"entities": [ | ||
{{ | ||
"_id": "Alice Palace", | ||
"type": "Person", | ||
"attributes": {{ | ||
"job": ["CEO of MongoDB"], | ||
"startDate": ["2018-01-01"] | ||
}}, | ||
"relationships": {{ | ||
"targets": ["Jasbinder Kaur", "Jarnail Singh"], | ||
"types": ["Friend", "Friend"], | ||
"attributes": [ | ||
{{ "since": ["2019-05-01"] }}, | ||
{{ "since": ["2015-05-01"], "frequency": ["weekly"] }} | ||
] | ||
}} | ||
}}, | ||
{{ | ||
"_id": "Jarnail Singh", | ||
"type": "Person", | ||
"relationships": {{ | ||
"targets": ["Alice Palace"], | ||
"types": ["Friend"], | ||
"attributes": [{{ "since": ["2019-05-01"] }}] | ||
}} | ||
}}, | ||
{{ | ||
"_id": "Jasbinder Kaur", | ||
"type": "Person", | ||
"relationships": {{ | ||
"targets": ["Alice Palace"], | ||
"types": ["Friend"], | ||
"attributes": [{{ "since": ["2015-05-01"], "frequency": ["weekly"] }}] | ||
}} | ||
}} | ||
] | ||
}} | ||
### Example 2: Event Extraction | ||
#### Input | ||
The 2022 OpenAI Developer Conference took place on October 10, 2022, in San Francisco. | ||
Elon Musk and Sam Altman were keynote speakers at the event. | ||
#### Output | ||
(If `allowed_entity_types` is ["Event", "Person"] and `allowed_relationship_types` is ["Speaker"]) | ||
{{ | ||
"entities": [ | ||
{{ | ||
"_id": "2022 OpenAI Developer Conference", | ||
"type": "Event", | ||
"attributes": {{ | ||
"date": ["2022-10-10"], | ||
"location": ["San Francisco"] | ||
}}, | ||
"relationships": {{ | ||
"targets": ["Elon Musk", "Sam Altman"], | ||
"types": ["Speaker", "Speaker"] | ||
}} | ||
}}, | ||
{{ "_id": "Elon Musk", "type": "Person" }}, | ||
{{ "_id": "Sam Altman", "type": "Person" }} | ||
] | ||
}} | ||
### Example 3: Concept Relationship | ||
#### Input | ||
Quantum computing is a field of study that focuses on developing computers based on the principles of quantum mechanics. | ||
#### Output | ||
(If `allowed_entity_types` is ["Concept"] and `allowed_relationship_types` is ["Based On"]) | ||
{{ | ||
"entities": [ | ||
{{ | ||
"_id": "Quantum Computing", | ||
"type": "Concept", | ||
"relationships": {{ | ||
"targets": ["Quantum Mechanics"], | ||
"types": ["Based On"] | ||
}} | ||
}}, | ||
{{ "_id": "Quantum Mechanics", "type": "Concept" }} | ||
] | ||
}} | ||
### Example 4: News Article | ||
#### Input | ||
On March 1, 2023, NASA successfully launched the Artemis II mission, sending astronauts to orbit the Moon. | ||
NASA Administrator Bill Nelson praised the historic achievement. | ||
#### Output | ||
(If `allowed_entity_types` is ["Organization", "Event", "Person"] and `allowed_relationship_types` is ["Managed By", "Praised By"]) | ||
{{ | ||
"entities": [ | ||
{{ | ||
"_id": "Artemis II Mission", | ||
"type": "Event", | ||
"attributes": {{ "date": ["2023-03-01"] }}, | ||
"relationships": {{ | ||
"targets": ["NASA"], | ||
"types": ["Managed By"] | ||
}} | ||
}}, | ||
{{ | ||
"_id": "NASA", | ||
"type": "Organization" | ||
}}, | ||
{{ | ||
"_id": "Bill Nelson", | ||
"type": "Person", | ||
"relationships": {{ | ||
"targets": ["Artemis II Mission"], | ||
"types": ["Praised By"] | ||
}} | ||
}} | ||
] | ||
}} | ||
### Example 5: Technical Article | ||
#### Input | ||
Rust is a programming language that guarantees memory safety without requiring garbage collection. | ||
It is known for its strong ownership model, which prevents data races. | ||
#### Output | ||
(If `allowed_entity_types` is ["Programming Language", "Concept"] and `allowed_relationship_types` is ["Ensures", "Uses"]) | ||
{{ | ||
"entities": [ | ||
{{ | ||
"_id": "Rust", | ||
"type": "Programming Language", | ||
"relationships": {{ | ||
"targets": ["Memory Safety"], | ||
"types": ["Ensures"] | ||
}} | ||
}}, | ||
{{ | ||
"_id": "Memory Safety", | ||
"type": "Concept", | ||
"relationships": {{ | ||
"targets": ["Ownership Model"], | ||
"types": ["Uses"] | ||
}} | ||
}}, | ||
{{ "_id": "Ownership Model", "type": "Concept" }} | ||
] | ||
}} | ||
""" |
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