Comparison

FastEmbed vs Nomic Embed

On the evidence we track, FastEmbed leads this comparison with a composite score of 57/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
★FastEmbed57
Nomic Embed42
Score
vioscaleAI score
FastEmbed57 / 100medium · 54%
Nomic Embed42 / 100low · 34%
Pricing
Free tier
FastEmbed✓
Nomic Embed✓
Model
FastEmbedopen_source
Nomic Embedfreemium
Price level
FastEmbedfree
Nomic Embedmid
Starting price
FastEmbed–
Nomic Embed$20
Transparent
FastEmbed–
Nomic Embed✗
Integrations
Count
FastEmbed3
Nomic Embed4
Adoption
Dependent repos
FastEmbed4
Nomic Embed–
Github stars
FastEmbed3,244
Nomic Embed–
Activity
Commits last 30d
FastEmbed71
Nomic Embed–
Release
Cadence days
FastEmbed33
Nomic Embed–
History
FastEmbed20 items
Nomic Embed–
License
Spdx
FastEmbedApache-2.0
Nomic Embed–
Language
Primary
FastEmbedPython
Nomic Embed–
Market
Availability
Content
Faq
FastEmbed3 items
Nomic Embed4 items

Capabilities

Feature-by-feature on the axes that matter for embeddings apis. “-” means undocumented, not absent.

Capabilities
Architecture model
FastEmbedOpen weights local
Nomic EmbedManaged cloud API
Matryoshka representation learning for dimension truncation
FastEmbed-
Nomic Embed-
Multilingual support across 100 plus languages
FastEmbed✓
Nomic Embed-
Binary and scalar quantization for memory reduction
FastEmbed✓
Nomic Embed-
Cross encoder reranker API offered
FastEmbed✓
Nomic Embed-
Late interaction architecture colbert v2
FastEmbed✓
Nomic Embed-
Massive context window greater than 8k tokens
FastEmbed✓
Nomic Embed-
Multi modal image and text joint embeddings
FastEmbed✓
Nomic Embed✓
Task specific prefixes query vs document instructions
FastEmbed✓
Nomic Embed-
Zero data retention training opt out enterprise
FastEmbed-
Nomic Embed-
SOC2 type ii
FastEmbed-
Nomic Embed-
Mit or apache permissive oss license
FastEmbed✓
Nomic Embed-
Pricing model
FastEmbedFree open weights
Nomic Embed-

What each one is

The product in its own terms, so the numbers below have context.

FastEmbed

Leader

FastEmbed is a Python library that generates text and image embeddings using ONNX Runtime, eliminating the need for large PyTorch dependencies. It supports various embedding models including sparse embeddings, late-interaction models, and cross-encoders, making it suitable for serverless and resource-constrained environments.

Independently observed

Nomic Embed

Software platform that processes complex construction documents including drawings, specifications, and BIM models using AI to automate workflows such as drawing review, submittal management, and data extraction for architecture and construction teams.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

FastEmbed

Leader
Open sourceFree tier
as of verify ↗

Nomic Embed

from $20/moSubscriptionFree tier

From $20/month. Free tier available.

  • Self Service$20/month
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Deployment
Cloud / SaaS
FastEmbed✓
Nomic Embed–
Self-hosted
FastEmbed✓
Nomic Embed–

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

FastEmbed

Leader
3 total
  • Qdrant
  • Langchain
  • Llama Index
Independently observed

Nomic Embed

7 total
  • Autodesk Forma
  • Fieldwire
  • Bentley ProjectWise
  • Procore
  • SharePoint
  • Egnyte
  • ACC
Independently observed
Still deciding?

FastEmbed or Nomic Embed: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.