# Faiss vs NucliaDB

| Attribute | Faiss | NucliaDB |
|---|---|---|
| **Vioscale score** | 62 (36% (low)) | 57.1 (51% (medium)) |
| activity.commits_last_30d | 47 | - |
| adoption.dependent_repos | 5,592 | - |
| adoption.github_stars | 40,809 | - |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true,"hybrid":true}` |
| description.long | Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. | Progress Agentic RAG is a RAG-as-a-Service platform providing a centralized agentic knowledge layer for building AI experiences with enterprise-scale governance, compliance, and multi-agent capabilities. |
| features.capabilities | `{"ann_index":"HNSW, IVF, PQ, multi-index, NSG","deployment":"self_hosted","serverless":false,"quantization":"product","storage_tier":"disk_backed","licence_class":"permissive_oss","product_class":"extension","distance_metrics":"Euclidean (L2), inner product, L1, Linf","horizontal_scale":"single_node"}` | `{"deployment":"managed","serverless":false,"storage_tier":"disk_backed","hybrid_search":true,"licence_class":"proprietary","multi_tenancy":true,"product_class":"dedicated_dbms","horizontal_scale":"sharded_distributed"}` |
| integrations.count | - | 1 |
| integrations.list | - | `[{"name":"AWS Marketplace"}]` |
| language.primary | C++ | - |
| license.spdx | MIT | - |
| platform.support | `{"mac":true,"linux":true,"windows":true}` | `{"web":true}` |
| pricing | `{"type":"open_source","sourceUrl":"https://faiss.ai","retrievedAt":"2026-08-13T20:46:34.341Z"}` | `{"type":"subscription","plans":[{"free":false,"name":"Starter","summary":"$700/month","features":["RAG","Q&A","Community support"],"commitment":"monthly","components":[{"kind":"fixed","amount":700,"period":"month","currency":"USD"}],"description":"Ideal for teams exploring AI-powered search and retrieval","contactSales":false,"includedLimits":{"tokens":"10,000/month","file_size":"750MB per file (text-based)","indexed_data":"5GB or 15k resources"}},{"free":false,"name":"Pro","summary":"$1,925/month","features":["RAG","Q&A","AI classification","Generative search","AI Assistant","Doc summarization","Community support + ZenDesk"],"commitment":"monthly","components":[{"kind":"fixed","amount":1925,"period":"month","currency":"USD"}],"description":"Built for growing organizations that need more data capacity, integrations and AI capabilities","contactSales":false,"includedLimits":{"tokens":"10,000/month","file_size":"1.5GB per file (all file types)","indexed_data":"25GB or 80k resources"}},{"free":false,"name":"Enterprise","summary":"Custom quote","features":["RAG","Q&A","AI classification","Generative search","AI Assistant","Doc summarization","Prompt LAB","RAB LAB","Private Slack Channel + ZenDesk"],"description":"Designed for large-scale deployments with unlimited scalability, on-prem options and advanced support","contactSales":true,"includedLimits":{"file_size":"Unlimited","indexed_data":"Unlimited"}}],"summary":"From $700/month. 14-day free trial available.","currency":"USD","freeTier":true,"sourceUrl":"https://nuclia.com","retrievedAt":"2026-08-03T13:22:32.996Z","freeTrialDays":14,"startingPrice":{"amount":700,"period":"month","currency":"USD"},"billingPeriods":["month"]}` |
| pricing.free_tier | - | yes |
| pricing.model | commercial | commercial |
| pricing.price_level | free | high |
| pricing.transparent | - | yes |
| release.cadence_days | 83 | - |
| release.history | `[{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.15.0","date":"2026-08-03T17:10:58Z","type":"stable","version":"v1.15.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.14.3","date":"2026-06-13T04:03:53Z","type":"stable","version":"v1.14.3"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.14.2","date":"2026-05-22T20:05:00Z","type":"stable","version":"v1.14.2"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.14.1","date":"2026-03-06T17:49:04Z","type":"stable","version":"v1.14.1"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.14.0","date":"2026-03-03T03:19:33Z","type":"stable","version":"v1.14.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.13.2","date":"2025-12-19T23:41:59Z","type":"stable","version":"v1.13.2"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.13.1","date":"2025-12-03T00:02:15Z","type":"stable","version":"v1.13.1"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.13.0","date":"2025-11-12T17:18:44Z","type":"stable","version":"v1.13.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.12.0","date":"2025-08-12T16:46:55Z","type":"stable","version":"v1.12.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.11.0","date":"2025-04-25T14:13:55Z","type":"stable","version":"v1.11.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.10.0","date":"2025-01-31T23:29:10Z","type":"stable","version":"v1.10.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.9.0","date":"2024-10-04T21:33:29Z","type":"stable","version":"v1.9.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.8.0","date":"2024-03-01T01:04:25Z","type":"stable","version":"v1.8.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.7.4","date":"2023-04-20T13:45:29Z","type":"stable","version":"v1.7.4"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.7.3","date":"2022-11-30T15:24:12Z","type":"stable","version":"v1.7.3"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.7.2","date":"2022-01-10T12:19:49Z","type":"stable","version":"v1.7.2"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.7.1","date":"2021-05-28T09:08:34Z","type":"stable","version":"v1.7.1"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.7.0","date":"2021-02-13T14:11:25Z","type":"stable","version":"v1.7.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.6.5","date":"2020-12-21T05:24:03Z","type":"stable","version":"v1.6.5"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.6.4","date":"2020-10-22T13:28:27Z","type":"stable","version":"v1.6.4"}]` | - |
| reliability.status_page | yes | - |
| security.gdpr | - | yes |
| security.iso27001 | - | yes |
| security.scorecard | 6.1 | - |
| security.soc2 | - | yes |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=faiss-cpu&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (Vector Databases)

| Capability | Faiss | NucliaDB |
|---|:--:|:--:|
| **Deployment** |  |  |
| Deployment | Self-hosted | Managed |
| Serverless / consumption pricing | ✗ | ✗ |
| **Index** |  |  |
| ANN index (HNSW / IVF / DiskANN / ScaNN / flat) | HNSW, IVF, PQ, multi-index, NSG | - |
| Distance metrics (cosine / dot / Euclidean) | Euclidean (L2), inner product, L1, Linf | - |
| **Query** |  |  |
| Metadata filtering | - | - |
| Hybrid search (dense + sparse fusion) | - | ✓ |
| Built-in BM25 / lexical | - | - |
| **Storage** |  |  |
| Quantization | Product | - |
| On-disk vs in-memory | Disk-backed | Disk-backed |
| **Scale** |  |  |
| Multi-tenancy (namespaces / collections / tenants) | - | ✓ |
| Horizontal scale | Single-node | Sharded / distributed |
| **Consistency** |  |  |
| Consistency | - | - |
| **Licensing** |  |  |
| Licence class | Permissive OSS | Proprietary |
| **Classification** |  |  |
| Purpose-built vs feature-of-parent | Extension | Dedicated DBMS |

*Source: Vioscale. Generated 2026-09-01T17:12:05.725Z. "-" = undocumented, not absent.*