Faiss prompts
NewA library for efficient similarity search and clustering of dense vectors.
Visibility score
5.4%
New vs last week
Weekly run · Nov 2Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Prompts mentioning
6of 30
across 1 category
#1 positions
2
engine answers that list Faiss first
Avg. position
4.9
across engines, when mentioned
Gaps
24
prompts where no engine mentions Faiss
| Prompt | Category | Intent · stage | Engines mentioning | Best | Avg. position | Mention rate | Weekly runs |
|---|---|---|---|---|---|---|---|
| What features matter most in a vector database? | Vector Databases | Informational Discovery | #1 | 1.0 | 1 | ||
| What are common mistakes when buying a vector database? | Vector Databases | Informational Discovery | #1 | 1.0 | 1 | ||
| How do companies store and search embeddings without a dedicated tool? | Vector Databases | Informational Discovery | #4 | 6.3 | 1 | ||
| What is the difference between a vector database and MLOps Platforms? | Vector Databases | Informational Discovery | #4 | 4.0 | 1 | ||
| What are the best Vector Databases tools in 2026? | Vector Databases | Commercial Comparison | #12 | 12.0 | 1 | ||
| Who makes the most used vector database? | Vector Databases | Navigational Validation | #5 | 5.0 | 1 |
Close the gaps for Faiss
Slate builds the pages and citations engines need to include you in these answers.
Cite as: SlateIndex, “Faiss AI visibility profile”, https://slateindex.ai/brand/faiss, data of Nov 2, 2026. Licence: CC BY 4.0.