# FastEmbed vs Nomic Embed

| Attribute | FastEmbed | Nomic Embed |
|---|---|---|
| **Vioscale score** | 46.6 (31% (low)) | 29.6 (36% (low)) |
| activity.commits_last_30d | 13 | - |
| adoption.dependent_repos | 4 | - |
| adoption.github_stars | 3,166 | - |
| deployment.options | `{"on_prem":true,"self_hosted":true}` | - |
| description.long | A Python library that creates vector embeddings from text and images using efficient, quantized model weights optimized for speed and local inference. Supports multiple embedding architectures including multilingual models and outperforms OpenAI's Ada-002 in accuracy. | 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. |
| features.capabilities | `{"pricing_model":"free_open_weights","architecture_model":"open_weights_local","cross_encoder_reranker_api_offered":true,"mit_or_apache_permissive_oss_license":true,"late_interaction_architecture_colbert_v2":true,"multi_modal_image_and_text_joint_embeddings":true,"massive_context_window_greater_than_8k_tokens":true,"multilingual_support_across_100_plus_languages":true,"binary_and_scalar_quantization_for_memory_reduction":true,"task_specific_prefixes_query_vs_document_instructions":true}` | `{"architecture_model":"managed_cloud_api","multi_modal_image_and_text_joint_embeddings":true}` |
| integrations.count | 1 | 6 |
| integrations.list | `[{"name":"Qdrant"}]` | `[{"name":"Autodesk Forma"},{"name":"Fieldwire"},{"name":"Bentley ProjectWise"},{"name":"Procore"},{"name":"SharePoint"},{"name":"Egnyte"}]` |
| language.primary | Python | - |
| license.spdx | Apache-2.0 | - |
| market.availability | - | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| pricing | - | `{"type":"subscription","plans":[{"free":false,"name":"Self Service","summary":"From $20/month","commitment":"monthly","components":[{"kind":"fixed","amount":20,"period":"month","currency":"USD"}],"contactSales":false}],"summary":"From $20/month","currency":"USD","freeTier":false,"sourceUrl":"https://nomic.ai","retrievedAt":"2026-08-21T13:54:31.185Z","startingPrice":{"amount":20,"period":"month","currency":"USD"},"billingPeriods":["month"]}` |
| pricing.free_tier | - | no |
| pricing.model | - | commercial |
| pricing.price_level | - | mid |
| pricing.starting_price | - | `{"amount":20,"currency":"USD"}` |
| pricing.transparent | - | no |
| release.cadence_days | 33 | - |
| release.history | `[{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.8.0","date":"2026-03-23T17:14:03Z","type":"stable","version":"v0.8.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.7.4","date":"2025-12-05T12:18:02Z","type":"stable","version":"v0.7.4"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.7.2","date":"2025-08-25T15:05:56Z","type":"stable","version":"v0.7.2"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.7.1","date":"2025-06-16T09:06:43Z","type":"stable","version":"v0.7.1"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.7.0","date":"2025-05-13T14:32:19Z","type":"stable","version":"v0.7.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.6.1","date":"2025-04-10T13:51:36Z","type":"stable","version":"v0.6.1"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.6.0","date":"2025-02-26T13:55:32Z","type":"stable","version":"v0.6.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.5.1","date":"2025-01-20T10:43:31Z","type":"stable","version":"v0.5.1"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.5.0","date":"2024-12-24T19:53:25Z","type":"stable","version":"v0.5.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.4.2","date":"2024-11-13T13:41:59Z","type":"stable","version":"v0.4.2"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.4.1","date":"2024-10-21T20:30:12Z","type":"stable","version":"v0.4.1"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.4.0","date":"2024-10-21T18:19:56Z","type":"stable","version":"v0.4.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.3.5","date":"2024-08-23T18:16:09Z","type":"stable","version":"v0.3.5"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.3.4","date":"2024-07-17T15:31:05Z","type":"stable","version":"v0.3.4"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.3.1","date":"2024-06-17T18:05:55Z","type":"stable","version":"v0.3.1"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.3.0","date":"2024-06-05T17:11:17Z","type":"stable","version":"v0.3.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.2.7","date":"2024-05-03T19:56:28Z","type":"stable","version":"v0.2.7"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.2.6","date":"2024-04-01T15:30:37Z","type":"stable","version":"v0.2.6"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.2.5","date":"2024-03-20T13:44:11Z","type":"stable","version":"v0.2.5"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.2.4","date":"2024-03-13T18:26:53Z","type":"stable","version":"v0.2.4"}]` | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=fastembed&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (Embeddings Apis)

| Capability | FastEmbed | Nomic Embed |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Architecture model | Open weights local | Managed cloud API |
| 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: Vioscale. Generated 2026-09-01T14:39:24.018Z. "-" = undocumented, not absent.*