# Nomic Embed vs sentence-transformers

**Leader by vioscaleAI score:** sentence-transformers

| Attribute | Nomic Embed | sentence-transformers |
|---|---|---|
| **vioscaleAI score** | 42 (34% (low)) | 58.9 (54% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 5,182 |
| adoption.github_stars | - | 19,174 |
| content.faq | `[{"answer":"A cloud-based AI platform purpose-built for architecture and construction professionals that automatically parses complex multimodal documents—including drawings, specifications, and project files—and provides intelligent agents for reviewing designs, checking compliance, and searching project knowledge. It is indexed under Embeddings Apis.","source":"https://nomic.ai","question":"What is Nomic Embed?","confidence":0.6},{"answer":"Nomic Embed offers a free tier, so you can start without paying. Paid plans start at $20 per month. Pricing changes often, so verify at source before relying on it.","source":"https://nomic.ai","question":"Is Nomic Embed free?","confidence":0.6},{"answer":"We have confirmed 7 integrations for Nomic Embed, including Autodesk Forma, Fieldwire, Bentley ProjectWise, Procore, SharePoint, Egnyte and ACC. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://nomic.ai","question":"What does Nomic Embed integrate with?","confidence":0.6},{"answer":"Nomic Embed is available worldwide. Its primary market is the United States.","source":"https://nomic.ai","question":"Where is Nomic Embed available?","confidence":0.5}]` | `[{"answer":"Python toolkit for generating semantic embeddings from text, images, audio, and video using transformer-based neural networks. Supports dense embedding models, cross-encoder rerankers for scoring and ranking, and late-interaction multi-vector models for advanced retrieval tasks. It is indexed under Embeddings Apis.","source":"https://www.sbert.net","question":"What is sentence-transformers?","confidence":0.6},{"answer":"sentence-transformers is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://www.sbert.net","question":"Is sentence-transformers free to use?","confidence":0.6},{"answer":"Yes. sentence-transformers can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://www.sbert.net","question":"Can sentence-transformers be self-hosted?","confidence":0.6},{"answer":"Yes. sentence-transformers is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/huggingface/sentence-transformers","question":"Is sentence-transformers open source?","confidence":0.95}]` |
| deployment.options | - | `{"self_hosted":true}` |
| description.long | 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. | Python toolkit for generating semantic embeddings from text, images, audio, and video using transformer-based neural networks. Supports dense embedding models, cross-encoder rerankers for scoring and ranking, and late-interaction multi-vector models for advanced retrieval tasks. |
| features.capabilities | `{"architecture_model":"managed_cloud_api","multi_modal_image_and_text_joint_embeddings":true}` | `{"pricing_model":"free_open_weights","architecture_model":"open_weights_local","cross_encoder_reranker_api_offered":true,"late_interaction_architecture_colbert_v2":true,"multi_modal_image_and_text_joint_embeddings":true}` |
| integrations.count | 4 | 1 |
| integrations.list | `[{"name":"Autodesk Forma"},{"name":"Fieldwire"},{"name":"Bentley ProjectWise"},{"name":"Procore"},{"name":"SharePoint"},{"name":"Egnyte"},{"name":"ACC","native":true,"direction":"inbound"}]` | `[{"name":"Hugging Face Hub"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| pricing | `{"type":"subscription","plans":[{"free":false,"name":"Self Service","summary":"$20/month","components":[{"kind":"fixed","amount":20,"period":"month","currency":"USD"}],"contactSales":false}],"summary":"From $20/month. Free tier available.","currency":"USD","freeTier":true,"sourceUrl":"https://nomic.ai","retrievedAt":"2026-09-06T16:22:46.870Z","startingPrice":{"amount":20,"period":"month","currency":"USD"},"billingPeriods":["month"]}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://www.sbert.net","retrievedAt":"2026-08-21T11:02:44.703Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | open_source |
| pricing.price_level | mid | free |
| pricing.starting_price | `{"amount":20,"currency":"USD"}` | - |
| pricing.transparent | no | yes |
| release.cadence_days | - | 27 |
| release.history | - | `[{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v6.1.0","date":"2026-09-18T10:44:39Z","type":"stable","version":"v6.1.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v6.0.1","date":"2026-08-31T07:50:59Z","type":"stable","version":"v6.0.1"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v6.0.0","date":"2026-08-18T13:46:07Z","type":"stable","version":"v6.0.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.7.0","date":"2026-08-06T12:12:42Z","type":"stable","version":"v5.7.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.6.1","date":"2026-07-23T14:42:08Z","type":"stable","version":"v5.6.1"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.6.0","date":"2026-06-16T14:02:15Z","type":"stable","version":"v5.6.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.5.1","date":"2026-05-20T07:37:38Z","type":"stable","version":"v5.5.1"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.5.0","date":"2026-05-12T14:06:38Z","type":"stable","version":"v5.5.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.4.1","date":"2026-04-14T13:35:25Z","type":"stable","version":"v5.4.1"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.4.0","date":"2026-04-09T13:41:49Z","type":"stable","version":"v5.4.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.3.0","date":"2026-03-12T14:54:11Z","type":"stable","version":"v5.3.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.2.3","date":"2026-02-17T14:06:18Z","type":"stable","version":"v5.2.3"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.2.2","date":"2026-01-27T11:11:19Z","type":"stable","version":"v5.2.2"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.2.1","date":"2026-01-26T14:48:31Z","type":"stable","version":"v5.2.1"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.2.0","date":"2025-12-11T14:12:37Z","type":"stable","version":"v5.2.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.1.2","date":"2025-10-22T13:00:25Z","type":"stable","version":"v5.1.2"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.1.1","date":"2025-09-22T11:28:54Z","type":"stable","version":"v5.1.1"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.1.0","date":"2025-08-06T13:49:08Z","type":"stable","version":"v5.1.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.0.0","date":"2025-07-01T13:56:10Z","type":"stable","version":"v5.0.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v4.1.0","date":"2025-04-15T13:47:13Z","type":"stable","version":"v4.1.0"}]` |
| security.vulnerabilities | - | `{"count":1,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=sentence-transformers&per_page=100","last_12m":1,"max_severity":"CRITICAL"}` |

## Capabilities (Embeddings Apis)

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

*Source: vioscaleAI. Generated 2026-10-16T20:56:03.065Z. "-" = undocumented, not absent.*