AlphaCorp-AI/RustyRAG

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Docling, and 94.5% accuracy on Open RAG Bench. Powered by Cerebras, Groq, Milvus, and Jina AI.

78 11 +0/wk

GitHub

actix-web cerebras groq jinaai llm milvus open-source rag rust vector-search

Trend 3

Star & Fork Trend (16 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 78

forks 11

Growth Velocity

AlphaCorp-AI/RustyRAG has +0 stars this period . 7-day velocity: 1.3%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	RustyRAG	spec-gen	seo-chat-bot	toktrack
Stars	78	78	78	78
Forks	11	12	31	6
Weekly Growth	+0	+1	+0	+0
Language	Rust	TypeScript	Python	Rust
Sources	1	1	1	1
License	NOASSERTION	MIT	N/A	MIT

Capability Radar vs spec-gen

RustyRAG

spec-gen

Maintenance Activity 100

Last code push 7 days ago.

Community Engagement 71

Fork-to-star ratio: 14.1%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.