Brand profile

Faiss

A library developed by Facebook AI Research for efficient similarity search and clustering of dense vectors, widely used in AI applications.

1 questions · 1 categories · As of Nov 12, 2026

Best category rank
#115
Databases · of 170
Questions
1
1 categories
Answers naming it
1/6
Of the answers measured on this brand's questions

Visibility by category

CategoriesCategory rankQuestionsScore
Databases#115of 17018.9

Ranking by question

Named alongside in Databases

Brands named in the same answers as Faiss in the last four weeks, counted in answers.

  1. 11Chroma
  2. 21Elasticsearch
  3. 31LanceDB
  4. 41Milvus
  5. 51MongoDB
  6. 61Pinecone
  7. 71PostgreSQL
  8. 81Qdrant
  9. 91Redis
  10. 101Weaviate

Sources cited when this brand is named

Sites the answers naming this brand cited in the last four weeks. Counts are citing answers.

Sources cited when this brand is named
RankSourceCiting answers
1encore.dev1
2hussain-nazary.github.io1
3internative.net1
4marktechpost.com1
5olostep.com1
6reverbico.com1

Named by surface, by question

For the brand's best questions: of each surface's 1 answers, how many named it.

Named by surface, by question
QuestionsGoogle AI OverviewsChatGPTClaudeGeminiGoogle AI ModeMicrosoft Copilot
1What are the best vector databases?001000