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Fireworks AI hosts embedding models behind an API. PipesHub can use them to index your documents and embed search queries.

Before you start

Create an account at fireworks.ai and generate an API key.

Required Fields

API Key *

Your Fireworks API key.

Model Name *

The embedding model’s identifier, for example nomic-ai/nomic-embed-text-v1.5 or fireworks/qwen3-embedding-8b. See Fireworks’ embeddings guide for the models it serves.

Endpoint URL *

The base address of the Fireworks API. PipesHub has no default for it, so enter it even if you use the standard Fireworks API. Standard value: https://api.fireworks.ai/inference/v1

Optional Fields

Model Friendly Name

A label shown in the PipesHub interface so you can tell several configurations apart. If you leave it blank, the model name is used.

Output Dimensions

Override the size of the vectors the model produces. Leave it blank to use the model’s default. Set it only for a model that accepts a dimensions parameter.

Multimodal

Turn this on only if the model can embed images as well as text. It is off by default. With it on, saving the model also checks that it can embed a test image; see Health check messages for other model types.
While content is indexed, PipesHub refuses to switch the embedding model in use to a different model or vector size. See Changing the embedding model in use.