R2R logo

R2R

RAG & Memory 4.3/10 Emerging

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

R2R scores 4.3/10 (Emerging) in RAG & Memory.

Language Python License MIT Stars 7.9k★ Type service Self-host Yes Repo SciPhi-AI/R2R Homepage https://r2r-docs.sciphi.ai

Quality

Emerging 4.3
Adoption 48
Activity 5
Maturity 74
Community 46
Capability 50
Show the math
Overall 4.3/10
value = 4.3/10
score = value
Adoption 5.3/10
value = 47.5/100
score = 1 + 9 * value / 100
Activity 1.4/10
value = 5/100
score = 1 + 9 * value / 100
Maturity 7.7/10
value = 74/100
score = 1 + 9 * value / 100
Community 5.1/10
value = 45.9/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100

Key metrics

7.9k★ GitHub stars
0/90d Recent commits
0 devs/90d Recent contributors
2.4y Project age
8mo 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.

rag knowledge-graph api agentic