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Infinity

RAG & Memory 4.2/10 Emerging

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali

Infinity scores 4.2/10 (Emerging) in RAG & Memory.

Language Python License MIT Stars 2.9k★ Type service Self-host Yes Repo michaelfeil/infinity Homepage https://michaelfeil.eu/infinity

Quality

Emerging 4.2
Adoption 36
Activity 11
Maturity 87
Community 34
Capability 50
Show the math
Overall 4.2/10
value = 4.2/10
score = value
Adoption 4.3/10
value = 36.4/100
score = 1 + 9 * value / 100
Activity 2/10
value = 11/100
score = 1 + 9 * value / 100
Maturity 8.8/10
value = 86.6/100
score = 1 + 9 * value / 100
Community 4/10
value = 33.5/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100

Key metrics

2.9k★ GitHub stars
0/90d Recent commits
0 devs/90d Recent contributors
2.7y Project age
3mo ago Last commit

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Labels

  • Self-hosted

    Self-hosted

    You deploy and operate it yourself; there is no hosted option here.

  • Managed option

    Managed option

    Available as a hosted/managed service in addition to self-hosting.

embeddings reranking inference serving