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Benchmarks
antonyrag edited this page Aug 4, 2026
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All numbers below come from a real, timed run against real infrastructure
— never projected or estimated. Full methodology, raw results, and the
runnable script live in
packages/ragleap-rag/benchmark/.
- Run date (UTC): 2026-08-03
- ragleap-rag version: 0.11.1
- Corpus: 40 synthetic documents (self-contained, no copyright concerns)
- Queries per config: 15
| Config | Docs ingested | Time (s) | Docs/sec |
|---|---|---|---|
gemini_pgvector |
40/40 | 36.3 | 1.10 |
gemini_faiss |
40/40 | 35.4 | 1.13 |
ollama_local |
40/40 | 112.7 | 0.36 |
| Config | Queries run | P50 (ms) | P95 (ms) | Mean (ms) |
|---|---|---|---|---|
gemini_pgvector |
8 of 15 (partial — see caveats) | 3934 | 6530 | 4253 |
gemini_faiss |
0 of 15 (see caveats) | — | — | — |
ollama_local |
15 of 15 | 67028 | 84883 | 47244 |
| Config | Avg cost (USD) | Pricing available? |
|---|---|---|
gemini_pgvector |
$0.0033 | Yes |
gemini_faiss |
— | No data (see caveats) |
ollama_local |
— | No pricing table entry (local, effectively $0) |
-
Gemini free tier has two separate caps: 5 requests/minute and 20
generation requests/day. The daily cap was the binding constraint —
it was exhausted partway through
gemini_pgvector's queries, beforegemini_faisscould run any at all. The 8gemini_pgvectornumbers above are real, but a partial sample (n=8, not 15). -
gemini_faisshas zero completed queries — not because FAISS failed (ingestion succeeded 40/40), but because the shared daily quota ran out before it got a turn. A follow-up run is needed once quota resets or a paid tier is used. -
Grok/xAI was excluded entirely — the API key available during this
run failed authentication (confirmed independent of
ragleap-ragvia a raw API call). - Ollama's latency (P50 ~67s) is real, not a bug — `qwen2.5:0.5b running full retrieval + generation on CPU-only hardware, no GPU. This is the genuine tradeoff of fully local, zero-cost inference on modest hardware.
cd packages/ragleap-rag/benchmark
export GEMINI_API_KEY="..."
python3 run_benchmark.py
python3 render_benchmarks_md.pyReal numbers only get published here after a real run — see Phase 6 of ROADMAP.md for the standard this follows.