[Backend] AGI tutor RAG pipeline over course content

[Penielka]

Overview

The AGI tutor currently answers from a static surface. Build a retrieval-augmented generation (RAG) pipeline: ingest course material into a vector store, retrieve relevant context per question, and ground answers with citations.

Acceptance Criteria

• Course material indexed into a vector store
• Queries retrieve relevant context before generation
• Answers include citations to source material
• Grounding/faithfulness metrics tracked
• Fallback to a safe "I don't know" when confidence is low

Files to Modify

• backend/src/services/tutor/ — RAG pipeline
• backend/src/workers/indexingJob.ts — content indexing
• backend/src/routes/agiTutor.ts — extend endpoints
• docker-compose.yml — vector store container

Priority: High

[Degentle12]

Hi Maintainer
May i fix this issue please

[MicD746]

Hello Maintainer, please can i work on this

[grantfox-oss]

🦊 GrantFox — @Degentle12 has been assigned to this issue as part of the Third Campaign campaign!

Next steps:

1. Open a Pull Request referencing this issue (e.g., Closes #406)
2. Your PR will be reviewed by the AetherEdu maintainers

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[grantfox-oss]

🎉 This issue has been marked as completed on GrantFox as part of the Third Campaign campaign!

@Degentle12's PR #482 was approved and merged by @Penielka.

🏆 @Degentle12: You earned 35 FoxPoints for this contribution! Your current tier: Explorer (519 total points). Track your full progress on GrantFox.

👏 Great work, @Degentle12! Keep contributing to AetherEdu.