What is Faiss?

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.

Independently observed

Faiss pricing

We don't have Faiss's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

What Faiss does

The capabilities that matter for vector databases, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Deployment
Deployment
Self-hosted
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
Scale
Multi-tenancy (namespaces / collections / tenants)
-
Horizontal scale
Single-node
Consistency
Consistency
-
Licensing
Licence class
Permissive OSS
Classification
Purpose-built vs feature-of-parent
Extension
Independently observed

Platform & deployment

Independently observed
Platforms
  • macOS
  • Linux
  • Windows
Deployment
  • Self-hosted

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Faiss FAQ

Common questions about Faiss, answered from independent, dated evidence.

What is Faiss?

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. It is indexed under Vector Databases.

Source: https://faiss.ai

Is Faiss free to use?

Faiss is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.

Source: https://faiss.ai

What platforms does Faiss support?

Faiss supports Windows, macOS and Linux. Platforms we have not confirmed are simply not listed here rather than ruled out.

Source: https://faiss.ai

Can Faiss be self-hosted?

Yes. Faiss can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://faiss.ai

Is Faiss open source?

Yes. Faiss is published under the MIT 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/facebookresearch/faiss

Faiss alternatives

Other vector databases we track, ranked by the same independent score.

All Faiss alternatives, ranked →

Compare Faiss

Side by side against other vector databases, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Faiss, not the verdict.

Balanced composite 56 / 100
low · 36%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Development activity510.146.9
Release cadence540.084.4
Stars870.054.1
Dependent projects630.053.4
Security score610.053.3
Capabilities00.080.0-
Integrations00.050.0-
Security posture00.120.0-
Package downloads00.040.0-
Developer Q&A activity00.140.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d40mediumsource · 2026-09-11 · 65%

Adoption

AttributeValueEvidence
Github stars40,891highsource · 2026-09-11 · 90%
Dependent repos5,592highsource · 2026-09-11 · 85%

Content

AttributeValueEvidence
Faq5 itemsmediumsource · 2026-09-10 · 67%

Features

AttributeValueEvidence
CapabilitiesAnn index: HNSW, IVF, PQ, multi-index, NSG · Deployment: self_hosted · Serverless: No · Quantization: product · Storage tier: disk_backed · Licence class: permissive_ossmediumsource · 2026-08-13 · 60%

Language

AttributeValueEvidence
PrimaryC++highsource · 2026-09-11 · 90%

License

AttributeValueEvidence
SpdxMIThighsource · 2026-09-11 · 95%

Pricing

AttributeValueEvidence
Modelcommerciallowsource · 2026-09-11 · 40%
Price levelfreemediumsource · 2026-08-13 · 60%

Release

AttributeValueEvidence
Cadence days83mediumsource · 2026-09-11 · 70%
History20 itemsmediumsource · 2026-09-11 · 70%

Reliability

AttributeValueEvidence
Status pageYesmediumsource · 2026-08-03 · 60%

Security

AttributeValueEvidence
Scorecard6.1highsource · 2026-09-11 · 90%
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=faiss-cpu&per_page=100 · Last 12m: 0highsource · 2026-09-11 · 90%
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