Track the OpenRAG version used for default docs ingestion and reingest system docs on application upgrade. Add safe cleanup and startup handling so upgrades refresh docs without failing when optional session context is unavailable.

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…tartup reingestion.

Centralize URL-ingest eligibility checks, persist remote signature consistently across onboarding and upgrades, add a manual refresh endpoint/UI action, and include targeted signature fallback tests.

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Emit start/skip/complete/fail refresh events with non-PII metadata and persist remote signature consistently after refresh to avoid stale state.

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Normalize frontend filter payloads to omit wildcard dimensions and stabilize remote docs signatures by preferring ETag over Last-Modified fallback formatting.

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Delete both URL-ingested system_default docs and legacy local sample-data docs during refresh/upgrade to avoid stale default content.

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Replace component-id tweaks with X-Langflow-Global-Var passthrough for docs URL and crawl settings so the flow remains stable when component IDs change.

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Move URL ingestion request construction/execution into LangflowFileService so main startup code stays orchestration-focused and reuses consistent Langflow header/error handling.

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This updates OpenSearch/Langflow fallback retrieval to handle mapping edge-cases and score thresholds consistently, and hardens document deletion UX/API behavior to avoid false-success signals.

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Revert frontend, flow-component, and unrelated backend adjustments so this branch focuses on the URL-first default docs ingestion and refresh metadata path.

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This reverts commit d775a45.

This ensures empty-query fallback returns no results and that RequestError after num_candidates retry degrades to keyword fallback instead of hard-failing.

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Handle 404 responses from document delete as a non-throwing zero-deletion result and update the integration test to account for ingestion runs that complete without indexed chunks.

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Restore legacy vector fallback for KNN field errors in Langflow component code and make backend search gracefully degrade to legacy or keyword fallback paths instead of surfacing HTTP 500s when dynamic KNN fields are not queryable.

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Keep semantic fallback constrained to documents that contain the legacy embedding field so KNN fallback does not return non-embedded documents, and sync the updated component code into all Langflow flow JSONs.

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# Conflicts:
#	flows/ingestion_flow.json
#	flows/openrag_agent.json
#	flows/openrag_nudges.json
#	flows/openrag_url_mcp.json
#	src/main.py
#	src/services/search_service.py

Ensure fallback warning logs in the multimodal OpenSearch component always include reason/error text directly in the message string so the context is reliably emitted across logger implementations.

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This reverts commit 81118b2.

Restore the retrieval flow Agent node to the expected model-based template so non-streaming chat calls no longer fail at runtime, and harden OpenSearch legacy fallback filtering in search service.

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Handle backend 404 responses as non-fatal in the Python documents client and align integration assertions with environments where ingestion may complete with zero successful files.

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