Embed Document Node

E

AI/Embedding

Embed Document

Creates an embedding vector for a document string using a cached embedding model

embed_documentllmLong running

Inputs3

Outputs2

Security exposure4/10

Packagellm

Ratings

Scores range from 0 to 10. Higher values mean more impact, exposure, or operational weight.

SecurityAttack surface and exposure impact.

4/10Medium

PrivacyPotential sensitivity of processed data.

4/10Medium

PerformanceRuntime or resource pressure.

3/10High

GovernancePolicy, audit, or compliance impact.

4/10Medium

ReliabilityOperational stability considerations.

3/10High

CostExternal or compute cost impact.

4/10Medium

Input Pins

3

Input

Execution

exec_in

Execution trigger

Query String

String

query_string

Document text that should be embedded

Model

Struct

model

Cached embedding Bit containing the provider

SchemaCachedEmbeddingModelCachedEmbeddingModelCachedEmbeddingModel2 fields

cache_keystringrequired

model_typeBitTypesrequired

enum "Llm", "Vlm", "Tts", "Stt"...

Schema enforced

Output Pins

2

Output

Execution

exec_out

Fires when embedding completes

Vector

Float Array

vector

Embedding vector returned by the model

Node Info

Internal name

embed_document

Category

AI/Embedding