Embedded search proof

Embedded transcript search for creators and educators.

Lightweight embeds that surface timestamped expert moments — not a broad AI answer box.

Live search UI preview

Same retrieval UX as the main product — embedded mode is in discovery.

Embed example

<iframe
  src="https://www.youtubetimesearch.com/embed/search?q=rag+vs+mcp"
  title="Expert engineering clip search"
  width="100%"
  height="420"
  loading="lazy"
  style="border:0;border-radius:12px;"
></iframe>

Existing embed routes: /embed/search

Creator websites

Let audiences search your long-form engineering archive.

Course platforms

Jump students to the best explanation inside each lecture.

AI YouTube archives

Make hundreds of hours searchable without manual timestamps.

Engineering education

Embed concept search next to syllabus content.

Trust product layer for agentic rag — cluster rag-retrieval

Why this answer is trustworthy

Trust 71%Enterprise readiness 90%Evidence strength 64%Diversity 100%

Why this answer won

Tier-1 expert moment (Anthropic) paired with hard doc citations; fusion=rrf and top_k=20 in operational excerpt.

Configs used

  • top_k=8

    corpus · confidence 43%

Benchmark evidence

  • faithfulness=0.82

    observed in cited evidence

    Sam Witteveen

Failure fixes

No incident remediation path in cited evidence.

Expert video corroboration

Building with MCP and Claude API — tool invocation

Sam Witteveen

https://www.youtube.com/watch?v=aZLr962R6Ag&t=638

Contradictory evidence

No contradictory expert framing detected.

Trace lineage

  1. queryretrieval.request

    hybrid_search

    agentic rag

  2. retrieve_hit_1retrieval.candidate

    Sam Witteveen

    12:34 · score 0.82

  3. synthesisanswer.operational_gate

    mcp_tool_orchestration

    passed

Citation quality (primary)

RAG vs MCP — expert walkthrough

Authority 82%· high

MCP is a protocol for tool context, while RAG retrieves documents at answer time. trace id visible in LangSmith retrieve span; faithfulness=0.82.

Source type:
youtube_expert
Cluster:
rag-retrieval

Authority 82% · high confidence

Winning evidence

  • expert Building with MCP and Claude API — tool invocation90%
  • citation RAG vs MCP — expert walkthrough82%
  • config top_k=843%
  • trace LangSmith32%
  • trace retrieve span32%

Rejected evidence

  • Excluded candidates: lower rank or diversity cap

Operational checklist

  • Hard citations paired1 cited moment(s)
  • Configuration evidence
  • Benchmark / metric evidence
  • Trace / observability lineage
  • Failure / remediation evidence
  • Expert video corroborationBuilding with MCP and Claude API — tool invocation
  • Source diversity100%
  • Contradictions reviewed

Uncertainty

  • Static trust demo; run live /api/v1/answer for production trust envelope.

Talk to us about embeds

Creators and educators — tell us your audience size and archive shape.