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Elasticsearch

Elasticsearch

elastic.coVector DatabasesClaude CodeClaude Code
86/ 100
B
Score Breakdown86%

Lost points on 4 checks

  • cost6/10
  • time9/15
  • efficiency6/10
  • OpenAPI0/14
Eval Score (70% weight)86%
cost$0.10 ($0.10–$0.20, great)+6
time63s (60s–120s, great)+9
efficiency7 tool calls (≤10, great)+6
found docsTouched docs at elastic.co: yes (1 matching tool calls)+10
zero errorsNo errors in tool outputs+5
syntax validCode compiles/parses correctly+5
created filesGenerated files: 1 (need ≥1)+10
full executionMethod: full_execution, Exit: 0+35
Checklist Score (30% weight)86%
Context7
Link+14
llms.txt
Link+14
MCP Server
Link+14
Typed SDK
Link+14
OpenAPI
+0
Agent Skills
Link+14
CLI
Link+14

Checklist determined by AI. If something looks wrong, .

Final Score
A: >=90%B: 75-89%C: 55-74%D: <55%
(86 × 0.7) + (86 × 0.3)= 86%
Replay
Using https://www.elastic.co/docs/solutions/search/semantic-search/semantic-search-semantic-text, complete the following task:

Using Elasticsearch, build me a FAQ search system:

1. Store these 3 FAQs:
   - Q: "How do I reset my password?" A: "Go to Settings > Security > Reset Password"
   - Q: "How do I cancel my subscription?" A: "Go to Settings > Billing > Cancel Plan"
   - Q: "How do I update my email?" A: "Go to Settings > Profile > Edit Email"

2. Search for: "I can't log into my account"

3. Print the best matching FAQ and its similarity score
faq_semantic_search.py

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Run completed Oct 28, 2026, 8:24 PM