AI & Agents
llama_index
Last updated 2026-06-11 · benchmark measured 2026-08-09 — deterministic & reproducible
LlamaIndex developer platform for parsing, extracting, and indexing documents with AI.
Is llama_index production-ready?
Legit.Show scores llama_index 64 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on llama_index (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Reliability; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — 47/100
- Accessibility — 97/100
- Security — 45/100
- Privacy — 0/100
- Reliability — 100/100
- Standards — 76/100
- Discoverability — 85/100
What we measured
- Security headers present: HSTS.
- No Content-Security-Policy.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 236 ms to first byte.
- Returns a proper 404 for unknown routes.
- 3 of 3 sampled routes reachable.
- No privacy policy found.
- Sets cookies / loads scripts with no consent prompt.
Who built it
product account @llama_index
Who it's for
Developers · AI engineers · Data teams · Enterprise users
Pricing
Credit-based pricing: $1.25 per 1,000 credits (North America & Europe). v2 Parsing Tiers: Fast 1 credit/page, Cost-effective 3 credits/page, Agentic 10 credits/page, Agentic Plus 45 credits/page. Layo
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