wd_pan
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cc27730348
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feat(memory): add opt-in relevance-aware retrieval ranking (#5251)
* feat(memory): add opt-in relevance-aware retrieval ranking
Add a deterministic, network-free lexical relevance strategy for DeerMem
(issue #4495): memory_search ranks every fact in scope by idf-weighted
token overlap combined with confidence, with optional greedy-MMR diversity
against near-duplicate facts; prompt injection ranks facts against the
current-turn query threaded from DynamicContextMiddleware through the new
optional `query` keyword on MemoryManager.get_context/aget_context.
Defaults preserve the legacy confidence-only behavior exactly; no prompt,
storage-format, or vector/embedding-dependency changes.
Refs #4495
Signed-off-by: pwd11 <fvdsrc@163.com>
* fix(memory): bound relevance retrieval and apply review feedback
Bound tokenization and index shared stems, preserve mixed CJK tokens, warm jieba, and align missing confidence with legacy injection. Cache MMR token sets and stop selection at result or injection budgets. Document retrieval-adapter precedence and add regression coverage. Refs #4495.
Signed-off-by: pwd11 <fvdsrc@163.com>
* fix(memory): preserve backend compatibility and normalize relevance
Signed-off-by: pwd11 <fvdsrc@163.com>
* fix(memory): omit absent query hints and share injection IDF
Signed-off-by: pwd11 <fvdsrc@163.com>
* test(memory): retain timeout mock until injection worker exits
Signed-off-by: pwd11 <fvdsrc@163.com>
* docs(agents): drop root guidance compaction
Signed-off-by: pwd11 <fvdsrc@163.com>
* fix(memory): validate token prefixes and preserve upload queries
---------
Signed-off-by: pwd11 <fvdsrc@163.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
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2026-09-18 11:32:04 +08:00 |
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