Text Embeddings Inference

ML inferencetext-embeddings-inference

Hugging Face server for embedding, reranker and sequence-classification models.

Provider: default
Kind: ML inference
Category: Compute
Official docs: https://huggingface.co/docs/text-embeddings-inference/en/cli_arguments
Also known as: TEI

Properties · 4 set by this component

property	type	values	required	kind default	this component
accelerator	enum	none \| gpu \| asic	no	none	▸ gpu
acceleratorModel · advanced	enum	nvidia-h100 \| nvidia-h200 \| nvidia-b200 \| nvidia-l4 \| nvidia-a100 \| amd-mi300x \| aws-trainium \| aws-inferentia \| google-tpu \| intel-gaudi \| groq-lpu \| cerebras-wse	no	—	inherited
apiKeyRequired · component property	boolean	—	no	false	inherited
autoTruncate · component property	boolean	—	no	true	inherited
embeddingSyncMinutes · advanced	integer	—	no	—	inherited
inputs	enum	live \| historical \| both	no	live	▸ live
instances	integer	—	no	—	inherited
managed	boolean	—	no	false	▸ false
maxBatchTokens · component property	integer	—	no	16384	inherited
maxConcurrentRequests · component property	integer	—	no	512	inherited
port · component property	integer	—	no	3000	inherited
snapshotToObjectStore · advanced	boolean	—	no	false	inherited
training	enum	batch \| online	no	batch	▸ batch

Rules that apply · 1

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

Stateful node without zone redundancyerror

stateful-node-without-zone-redundancy

A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.

— all of these hold:
— the node's `stateless` is false
— the node sits inside exactly 1 availability-zone group
— this does not hold:
— the node sits inside at least one cell group

Use it in a design

nodes:
  - { id: "text-embeddings-inference", component: "text-embeddings-inference" }

Other ML inference products · 37

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Source

1# yaml-language-server: $schema=../../schema/component.schema.json
2# Text Embeddings Inference (TEI): Hugging Face's server for embedding, reranker and sequence-classification models.
3# Per "CLI arguments", the router listens on 0.0.0.0:3000, allows 512 concurrent requests and 16384 batch tokens,
4# truncates over-long inputs by default, and answers every request until --api-key is set.
5schemaVersion: "1"
6type: "component"
7id: "text-embeddings-inference"
8kind: "ml-inference"
9provider: "default"
10docs: "https://huggingface.co/docs/text-embeddings-inference/en/cli_arguments"
11aliases: ["TEI"]
12defaults:
13  training: "batch"
14  inputs: "live"
15  accelerator: "gpu"
16  managed: false
17properties:
18  port:
19    type: "integer"
20    default: 3000
21  maxConcurrentRequests:
22    type: "integer"
23    default: 512
24  maxBatchTokens:
25    type: "integer"
26    default: 16384
27  apiKeyRequired:
28    type: "boolean"
29    default: false
30  autoTruncate:
31    type: "boolean"
32    default: true

The same page as markdown, for an agent: /catalogue/components/text-embeddings-inference.md