NodeWithScore

pydantic model llama_index.schema.NodeWithScore

Show JSON schema

{
   "title": "NodeWithScore",
   "description": "Base component object to capture class names.",
   "type": "object",
   "properties": {
      "node": {
         "$ref": "#/definitions/BaseNode"
      },
      "score": {
         "title": "Score",
         "type": "number"
      },
      "class_name": {
         "title": "Class Name",
         "type": "string",
         "default": "NodeWithScore"
      }
   },
   "required": [
      "node"
   ],
   "definitions": {
      "ObjectType": {
         "title": "ObjectType",
         "description": "An enumeration.",
         "enum": [
            "1",
            "2",
            "3",
            "4"
         ],
         "type": "string"
      },
      "RelatedNodeInfo": {
         "title": "RelatedNodeInfo",
         "description": "Base component object to capture class names.",
         "type": "object",
         "properties": {
            "node_id": {
               "title": "Node Id",
               "type": "string"
            },
            "node_type": {
               "$ref": "#/definitions/ObjectType"
            },
            "metadata": {
               "title": "Metadata",
               "type": "object"
            },
            "hash": {
               "title": "Hash",
               "type": "string"
            },
            "class_name": {
               "title": "Class Name",
               "type": "string",
               "default": "RelatedNodeInfo"
            }
         },
         "required": [
            "node_id"
         ]
      },
      "BaseNode": {
         "title": "BaseNode",
         "description": "Base node Object.\n\nGeneric abstract interface for retrievable nodes",
         "type": "object",
         "properties": {
            "id_": {
               "title": "Id ",
               "description": "Unique ID of the node.",
               "type": "string"
            },
            "embedding": {
               "title": "Embedding",
               "description": "Embedding of the node.",
               "type": "array",
               "items": {
                  "type": "number"
               }
            },
            "extra_info": {
               "title": "Extra Info",
               "description": "A flat dictionary of metadata fields",
               "type": "object"
            },
            "excluded_embed_metadata_keys": {
               "title": "Excluded Embed Metadata Keys",
               "description": "Metadata keys that are excluded from text for the embed model.",
               "type": "array",
               "items": {
                  "type": "string"
               }
            },
            "excluded_llm_metadata_keys": {
               "title": "Excluded Llm Metadata Keys",
               "description": "Metadata keys that are excluded from text for the LLM.",
               "type": "array",
               "items": {
                  "type": "string"
               }
            },
            "relationships": {
               "title": "Relationships",
               "description": "A mapping of relationships to other node information.",
               "type": "object",
               "additionalProperties": {
                  "anyOf": [
                     {
                        "$ref": "#/definitions/RelatedNodeInfo"
                     },
                     {
                        "type": "array",
                        "items": {
                           "$ref": "#/definitions/RelatedNodeInfo"
                        }
                     }
                  ]
               }
            },
            "class_name": {
               "title": "Class Name",
               "type": "string",
               "default": "base_component"
            }
         }
      }
   }
}

Config

• schema_extra: function = <function BaseComponent.Config.schema_extra at 0x7ff1e41e53a0>

Fields

• node (llama_index.schema.BaseNode)

• score (Optional[float])

field node: BaseNode [Required]

field score: Optional[float] = None

classmethod class_name() → str

Get the class name, used as a unique ID in serialization.

This provides a key that makes serialization robust against actual class name changes.

get_content(metadata_mode: MetadataMode = MetadataMode.NONE) → str

get_embedding() → List[float]

get_score(raise_error: bool = False) → float

Get score.

get_text() → str

property embedding: Optional[List[float]]

property id_: str

property metadata: Dict[str, Any]

property node_id: str

property text: str