Skip to content
Sponsor

Embed

AIfiredcore.ai.embed

Turn text into an embedding vector with the embed model you pick, the way the LLM picks its model. Fires on its trigger and emits the vector and a trigger for the next node.

Fired. It runs when an event or a value lands on trigger, and pulls its other inputs at that moment.

Port Type Notes
trigger event Fires the node
text text
Port Type Notes
embedding embedding
trigger event
Knob Kind Default Notes
model model none stays a knob (cannot become an input)

The picker lists the models of this kind installed in Ollama, read live, whether or not a manifest describes them. The ones below ship with a manifest, which adds a label, settings and what the model can do. Picking a model adds its own settings to the node as knobs, and each of those can become an input. Models explains when the list refreshes and how manifests work.

Model Id Needs Can
bge-m3 (Ollama) ollama/bge-m3 Ollama

Turns text into a vector with a local model through Ollama. The default is bge-m3, which you add with ollama pull bge-m3. Fire trigger, and embedding goes into a Vectors node to index or search. If Ollama is not running, embedding comes out empty and a search finds nothing. If Ollama runs without the model, the graph stays Off, and its problems list says to pull the model in Connections.

  • LLM: A chat / multimodal model.
  • Rerank: Reorder candidates by how well each one answers the query, and keep the best.
  • STT: Speech to text.
  • Tool: A tool the LLM can call.
  • Tool Args: Where a tool’s body starts.
  • TTS: Text to speech.