KVANTRA-dev/NOUZ-MCP

v3.2.3 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 16d MCP Data & Storage

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Summary

AI summary

Semantic bridges now use chunk evidence for higher‑confidence candidate selection.

Changes in this release

Type	Severity	Summary	CVE
Feature
Feature	Low	Semantic bridges now use chunk evidence when stored chunk embeddings are available. Semantic bridges now use chunk evidence when stored chunk embeddings are available. Source: granite4.1:8b-q6_K@2026-05-19 Confidence: high	—
Feature	Low	Note-level cosine finds candidate chunks for semantic bridges. Note-level cosine finds candidate chunks for semantic bridges. Source: granite4.1:8b-q6_K@2026-05-19 Confidence: high	—
Feature	Low	Best chunk pair must pass configured threshold before proposing a chunk-backed bridge. Best chunk pair must pass configured threshold before proposing a chunk-backed bridge. Source: granite4.1:8b-q6_K@2026-05-19 Confidence: high	—
Feature	Low	Responses include note_score, chunk_score, raw/centered chunk scores, score mode, and evidence snippets/spans. Responses include note_score, chunk_score, raw/centered chunk scores, score mode, and evidence snippets/spans. Source: granite4.1:8b-q6_K@2026-05-19 Confidence: high	—
Feature	Low	Note-level fallback used when chunks are not indexed. Note-level fallback used when chunks are not indexed. Source: granite4.1:8b-q6_K@2026-05-19 Confidence: high	—

Full changelog

Patch release: semantic bridges now use chunk evidence when stored chunk embeddings are available. Note-level cosine finds candidates; the best chunk pair must pass the configured threshold before a chunk-backed bridge is proposed. Responses include note_score, chunk_score, raw/centered chunk scores, score mode, and evidence snippets/spans, with a note-level fallback when chunks are not indexed.

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About KVANTRA-dev/NOUZ-MCP

Semantic knowledge graph for Obsidian. Three modes (pure graph / semantic classification / strict hierarchy)

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