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### What problem does this PR solve? Implements automatic adjustment of knowledge base chunk recall weights based on user feedback (upvotes/downvotes). When users upvote or downvote a response, the system locates the corresponding knowledge snippets and adjusts their recall weight to improve future retrieval quality. **Closes #12670** **How it works:** 1. User upvotes/downvotes a response via `POST /thumbup` 2. System extracts chunk IDs from the conversation reference 3. For each referenced chunk: - Reads current `pagerank_fea` value from document store - Increments (+1) for upvote or decrements (-1) for downvote - Clamps weight to [0, 100] range - Updates chunk in ES/Infinity/OceanBase 4. Future retrievals score these chunks higher/lower based on accumulated feedback **Files changed:** - `api/db/services/chunk_feedback_service.py` - New service for updating chunk pagerank weights - `api/apps/conversation_app.py` - Integrated feedback service into thumbup endpoint - `test/testcases/test_web_api/test_chunk_feedback/` - Unit tests ### Type of change - [x] New Feature (non-breaking change which adds functionality) <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **New Features** * Chat message feedback now updates per-chunk relevance weights (feature-flag gated), with configurable weighting and atomic updates across storage backends. * **Bug Fixes** * Stricter validation for message feedback inputs and more robust handling of feedback transitions. * **Tests** * Expanded test coverage for chunk-feedback behavior, weighting strategies, storage backends, and thumb-flip scenarios. * **Chores** * CI workflow extended to run the new chunk-feedback web API tests. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Co-authored-by: mkdev11 <YOUR_GITHUB_ID+MkDev11@users.noreply.github.com> Co-authored-by: mkdev11 <MkDev11@users.noreply.github.com>