Skip to content

v0.11.1 Release Recap ​

v0.11.1 is a non-breaking ranking hardening patch. It adds a representative corpus regression test across the main retrieval scenarios and widens the internal candidate pool before final scoring.

What Changed ​

AreaNew in v0.11.1Why it matters
Ranking candidate poolVector retrieval now brings at least 50 candidates into fusion and scoringPrevents crowded near-match topics from hiding stronger results before the ranker can apply confidence, recency, and utility
Representative corpus testTestRepresentativeCorpusRankingGolden covers poisoning resistance, temporal memory, procedural memory, and general RAG fixturesGives future ranking changes a broader regression tripwire than the small unit fixture
Release docsProposal and release notes now record the ranking hardening sliceKeeps GitHub Pages aligned with the live tagged release

Non-Breaking Behavior ​

The public SDK, REST, gRPC, and GraphQL contracts are unchanged. Ranking may improve in crowded result sets because more candidates are rescored before the final top-k is returned.

Released under the MIT License.