b587844d06
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.
27 lines
674 B
YAML
27 lines
674 B
YAML
apiVersion: v2
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name: weknora
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description: |
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WeKnora - AI-powered Knowledge RAG Platform for building intelligent knowledge bases
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with document parsing, vector search, and LLM integration.
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type: application
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version: 0.1.0
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appVersion: "v0.5.0"
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kubeVersion: ">=1.25.0-0"
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home: https://github.com/Tencent/WeKnora
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icon: https://raw.githubusercontent.com/Tencent/WeKnora/main/docs/images/logo.png
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sources:
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- https://github.com/Tencent/WeKnora
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keywords:
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- ai
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- rag
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- knowledge-base
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- llm
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- document-parsing
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- vector-search
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- chatbot
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maintainers:
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- name: WeKnora Community
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url: https://github.com/Tencent/WeKnora
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annotations:
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artifacthub.io/license: MIT
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