Tenant RBAC headline release: 4-tier role matrix (Owner/Admin/
Contributor/Viewer), per-KB resource ownership, per-tenant audit
log, tenant member management, self-service workspaces.
Also: CLI v0.3/v0.4 GA, KB retrieval fan-out across vector stores,
AES-256-GCM credential at-rest, docreader gRPC TLS+Token, Zhipu
embedding, Huawei OBS, vLLM URL for MinerU, Apache Doris compat
modes, server-side user preferences, Go 1.26.0.
See CHANGELOG.md for the full list.
docs(rbac): wire RBAC screenshots into READMEs and RBAC guide
- README.md / README_CN.md / README_JA.md / README_KO.md: replace the
single member-management thumbnail under the v0.6.0 RBAC highlight
with a 2×2 showcase (member management, workspace switcher,
self-service workspace creation, pending invitations).
- docs/RBAC说明.md: add the member-management screenshot to the
existing 前端实际界面 showcase so the guide is self-contained
and no longer cross-references README for it.
feat(rbac-ui): link tenant member page to RBAC guide
Add an inline doc-link in the Tenant Members settings page that
opens docs/RBAC说明.md on GitHub in a new tab, complementing the
existing in-app role-matrix popover. New i18n key
tenantMember.learnRbacGuide covered for zh-CN / en-US / ko-KR /
ru-RU.
Bump version to v0.5.2 across VERSION, Helm chart, frontend package
files, and cloud-image script comment. Update CHANGELOG and all four
language READMEs with v0.5.2 highlights (Wiki Mode at scale, MCP
human-in-the-loop approval, new LLM/vector/storage/search backends,
adaptive 3-tier chunking, global command palette, CLI preview, etc.).
Discoverability gaps surfaced by the pre-PR review:
- New cli/README.md: install (build-from-source / pre-built once shipped)
+ 5-minute quickstart (auth login → kb list → link → doc upload →
chat) + multi-context walkthrough + JSON envelope shape + agent /
scripting integration overview + dev workflow. Points readers at
cli/AGENTS.md for the full operational contract.
- Top-level README.md: new "⌨️ Command-Line Interface" section between
Key Features and Getting Started, with a one-paragraph pitch + four
representative commands and links to cli/README.md and cli/AGENTS.md.
English README only this round; CN / JA / KO translations to follow
in v0.3 to match the existing four-language pattern.
- CHANGELOG.md [Unreleased] gets a "weknora CLI v0.2" bullet listing
the headline capabilities (10-command surface, project-link,
envelope, agent affordance, multi-context auth, doctor) and pointing
at cli/README.md.
- cli/AGENTS.md gains an "Architecture decisions" section documenting
ADR-3 (gh as primary mainstream north star + the four documented
deviations: link, chat/search, context use, doctor) and ADR-4
(Factory closures + narrow Service interfaces). The in-source
references (`(v0.2 ADR-3)`, `(per ADR-4)`) now point at committed
prose rather than dangling.
Three documentation passes around the adaptive chunking work:
UI
- Frontend ChunkOverlap default consolidated to 80 (was 100), matching
chunker.DefaultChunkOverlap on the backend. Both DEFAULT_CHUNKING_PRESET
and initFormData updated. The KB-load fallback also uses 80 when a
loaded KB has no chunk_overlap stored.
- All four locales (en-US, zh-CN, ko-KR, ru-RU) get rewritten chunking
setting descriptions: each now states the validated range, the default,
and the situations where you'd deviate (FAQ vs narrative, embedder
token limits, language-specific corpora).
Source code
- splitter.go: DefaultChunkSize / DefaultChunkOverlap constants get a
longer block-comment explaining the per-language token math and the
use-case sweet spots, plus the migration note on what the old
inconsistent defaults were.
- KBChunkingSettings.vue: new comment block above ChunkingConfig
documents the slider min/max for each setting, why those bounds
exist, and the recommended TokenLimit values per embedding model.
Repo docs
- New docs/CHUNKING.md: end-to-end guide covering why chunking matters,
the adaptive 3-tier architecture, per-setting reference with ranges
and sweet spots, parent-child explanation, the token-limit table per
embedder (OpenAI / Voyage / Cohere / BGE / MiniLM / Jina), 7 use-case
presets, the debug panel workflow, the API surface, and known
trade-offs (recursive strategy hidden from UI, no auto-reindex on
strategy switch, OCR limitations).
- CHANGELOG.md gets a new [Unreleased] section consolidating all the
adaptive-chunking work shipped on this branch: 5 features, 8
improvements, 6 fixes, 1 docs entry. The entry references
docs/CHUNKING.md for deeper explanation.
https://claude.ai/code/session_01XADhx6mtu2ZYW3DE9Lun6k
Bump version to 0.5.1 across VERSION, frontend package files, and
Helm chart, and refresh CHANGELOG plus the four-language README
"Latest Updates" section to merge v0.5.1 highlights with the v0.5.0
core feature set.
Bump version to v0.5.0 across VERSION, frontend/package.json,
frontend/package-lock.json and helm/Chart.yaml.
Highlights:
- Wiki Mode: agent-driven Wiki knowledge system that distills raw
documents into interlinked markdown pages, with a dedicated
WikiBrowser and an interactive knowledge graph visualizing page
references and relationships.
- Observability: Langfuse tracing across the agent ReAct loop, LLM
token usage, tool calls and the asynq async pipeline.
- Customizable indexing strategy: per-knowledge-base toggles for
vector / keyword / Wiki / knowledge-graph indexing.
- Vector Store UI & per-KB binding.
- Yuque connector with full / incremental sync.
- Agent enhancements: json_repair tool, OpenMAIC Classroom skill,
multi-sheet DuckDB Excel analysis.
- Docs: refreshed READMEs (EN/CN/JA/KO), CHANGELOG, QA, regenerated
Swagger and updated architecture diagram with new Wiki/Langfuse
components.
- Revised the changelog to reflect the new features in version 0.4.0, including the introduction of the Cloud Knowledge Assistant and updates to WeKnora Cloud integration.
- Enhanced descriptions for ClawHub Skill and data source import capabilities, clarifying functionality and usage.
- Updated README files in multiple languages to ensure consistency and accuracy in feature descriptions and links.
This update improves the clarity and accessibility of the project's documentation, ensuring users are well-informed about the latest features and integrations.
- Added new integrations for Telegram, DingTalk, and Mattermost IM channels.
- Introduced a pluggable slash command system and a suggested questions feature for enhanced user interaction.
- Implemented VLM auto-description for images returned by MCP tools.
- Improved stability of MCP tool names and added channel tracking for knowledge entries.
- Fixed multiple bugs including empty responses when no knowledge base is configured and UTF-8 truncation issues.
- Updated documentation to reflect new features and enhancements.
wizardchen