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Concepts docs: RAG / semantic search architecture #481

Description

@codebestia

Write apps/ai_agent/docs/concepts-rag-search-architecture.md explaining how /index/message and /search together form a retrieval pipeline: what gets embedded, how OpenAI is used (embedding model, and separately the chat model), and how this pipeline is meant to be consumed by callers.

Acceptance criteria:

  • The indexing pipeline (message text → embedding → Weaviate storage) is documented step by step
  • The retrieval pipeline (query → embedding → Weaviate similarity search → results) is documented step by step
  • Explicitly documents whether/how retrieved results currently feed back into any other endpoint's LLM prompt — if no integration exists yet, the doc states that plainly

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Stellar WaveIssues in the Stellar wave programaidocumentationImprovements or additions to documentation

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