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FaissA library for efficient similarity search and clustering of dense vectors.
vs
QdrantOpen-Source Vector Search Engine written in Rust
Comparison · Vector Databases · weekly run Nov 2

Faiss vs Qdrant

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Qdrant is the stronger AI pick in Vector Databases: it has a visibility score of 60.5 versus 5.4 for Faiss, and ranks ahead in 100% of the answers that name both.

Choose Faiss if…

  • No separate server needed for small or static datasets

Choose Qdrant if…

  • You want the brand AI engines rank higher (60.5 vs 5.4)
  • AI answers describe it more positively (68% vs 12% positive)
  • You need a self-hosted or on-premises option
  • You need SOC 2 Type 2 or HIPAA coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric Faiss Qdrant
Visibility score5.4%60.5%
Change vs last weekNewNew
Rank in Vector Databases#13#2
Share of voice1.7%13.4%
Mentions this run863
Positive in AI answers12%68%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Faiss 5%

Faiss 0pp · Qdrant 0pp over 0 weekly runs.

Engine by engine

Qdrant leads on 3 of 3 engines

ChatGPT
3.7%
71.8%
AI Mode
8.3%
59.4%
Perplexity
4.1%
50.2%
FaissQdrant

Head to head in AI answers

4 engine answers name both brands

0Faiss ranked higher
4Qdrant ranked higher

Features, pricing & fit

DimensionFaissQdrant
Pricing model—Usage-based
Entry price—Contact sales
Free plan—Yes
DeploymentSelf-hosted library that runs inside the calling process on a local machine.Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge
Compliance—SOC 2 Type 2, HIPAA
Support—Community support via Discord on the free tier, Standard tier: email and ticket portal, 10x5 business hours, Premium tier: 24/7 support with private Slack, Discord or Teams channels, Enterprise tier: custom response SLA and advisory services
Founded20172021
Headquarters—Berlin, Germany
Employees—51–200
Funding—Series B · $88M raised
Best forDevelopers who need fast vector search inside their own application and can handle low-level setup.Developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed

Plans side by side

Faiss

Pricing not available.

Qdrant

Free Tier$0forever
Standard TierCustomusage-based
Premium TierCustomminimum spend required
Qdrant pricing

Pros and cons

Themes from the AI answers that mention each brand

Faiss

  • No separate server needed for small or static datasets
  • Barebones in-memory library rather than a full-featured database
  • Lacks metadata storage and filtering for hybrid queries

Qdrant

  • High performance and memory efficiency, written in Rust
  • Strong metadata and complex payload filtering
  • Free tier for prototyping and testing
  • Open-source option with flexible self-hosting
  • Strong default choice for startups and production RAG

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “Faiss vs Qdrant”, https://slateindex.ai/compare/faiss-vs-qdrant, data of Nov 2, 2026. Licence: CC BY 4.0.