Hugging Face
Models
Datasets
Spaces
Buckets
new
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Hardware
Learn
Discord
Forum
GitHub
Solutions
Team & Enterprise
Hugging Face PRO
Enterprise Support
Inference Providers
Inference Endpoints
Storage Buckets
Log In
Sign Up
Spaces:
ansh123456789
/
ragingoa
like
2
Running
App
Files
Files
Community
Fetching metadata from the HF Docker repository...
main
ragingoa
/
benchmark
781 kB
Ctrl+K
Ctrl+K
1 contributor
History:
12 commits
ansh123456789
docs: update README with accurate numbers, architecture, 4-tier guardrails and retrieval benchmark results
b5f9729
4 days ago
results
docs: update README with accurate numbers, architecture, 4-tier guardrails and retrieval benchmark results
4 days ago
quick_eval.py
Safe
1.98 kB
feat(perf): optimize latency to sub-60ms with BM25 hybrid fusion, INT8 quantization and 64-token bounding
5 days ago
report.py
Safe
6.86 kB
feat(core): complete voice-rag-indic pipeline with STT, FAISS HNSW, BM25 rerank, guardrails, FastAPI, benchmarks, and demo
7 days ago
run_cold_start_bench.py
Safe
8.5 kB
Optimize cold-start latency: batched prompt guard, eager startup warmup, and sub-200ms SLA enforcement
6 days ago
run_latency_bench.py
Safe
22 kB
fix(guardrails): multilingual cross-encoder reranker, theft/fraud regex, and cold-start optimization
5 days ago
run_speed_bench_50.py
Safe
14.1 kB
feat(optimizations): implement 7 low-latency non-LLM RAG adaptations and 750-query benchmark suite
6 days ago