- Implemented one-click setup instructions for DingTalk, Lark, WeCom, and WeChat, enhancing user experience by automating credential input.
- Added new images for the setup processes, including success screens and QR code scanning steps.
- Created a new webpage bot documentation, detailing the embedding process and configuration options.
- Updated existing documentation for better clarity and structure, including manual setup instructions and configuration details.
Add comprehensive Page component documentation covering:
- Use cases (admin panels, data displays, interactive tools)
- Manifest file format
- Backend handler with PageRequest/PageResponse
- Frontend development with Page SDK (API calls, dark mode, i18n)
- Full FAQ Manager example
- Update add.mdx and docs.json navigation for both languages
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
- Add rerank model section to zh/en model configuration pages
with supported providers table and Bailian extra_args guide
- Update zh/en features pages with Cohere/Jina/Voyage providers
and RAG rerank support
- Add optional rerank configuration section to zh/en knowledge
base pages
Document Alembic migration usage for developers:
- Migration file location and naming convention
- How to create new migrations
- Schema change and data migration patterns
- Auto-run mechanism on startup
- CI testing info
- Rewrite OpenAPI specs (zh/en/ja) with Provider+Model two-layer architecture
- Remove old model schema (requester/requester_config/api_keys on model level)
- Add ModelProvider CRUD endpoints
- Add missing endpoints: knowledge engines, parsers, plugin config/upgrade, pipeline copy/extensions
- Update Service API overview pages (zh/en/ja) with core concepts
- Update models config page to explain Provider+Model architecture
- Bump API version to 4.9.5
Localized Cloud promotion tips for English and Japanese versions.
EN tips emphasize Slack, LINE, WeCom (internationally relevant).
JA tips emphasize LINE and Lark (Japan-relevant platforms).
* docs: update wiki for RAG engine plugin architecture
Replace KnowledgeRetriever component docs with RAGEngine across all
three languages (zh/en/ja). Key changes:
- Add new rag-engine.mdx component docs covering RAGEngine base class,
creation_schema/retrieval_schema, capability declarations, lifecycle
hooks, host RAG APIs, and complete code examples
- Update knowledge base usage docs to reflect unified KB model (remove
internal/external distinction, add RAG engine selection flow)
- Update component list (add.mdx) and plugin intro to reference RAGEngine
- Add RAG API section to plugin common APIs (invoke_embedding,
vector_upsert/search/delete, get_rag_file_stream)
- Update docs.json navigation to point to rag-engine pages
Companion to LangBot PR #1995 and SDK PR #34.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* fix: sync with sdk
* docs: update vector API docs with metadata filters, search_type, and documents support
- Replace Warning tags about unimplemented filters with Info tags documenting
canonical filter format (Chroma-style where syntax) and supported operators
- Document search_type/query_text params for full-text and hybrid search
- Document documents param for vector_upsert
- Update RetrievalContext.filters description from reserved to active
- Add filter usage examples (en/zh/ja)
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* docs: enhance RAG Engine documentation across multiple languages
- Expanded the description of the RAG Engine component to include bridging capabilities with advanced knowledge base services like Dify, RAGFlow, and FastGPT.
- Clarified the `DOC_INGESTION` capability description, specifying conditions under which the declaration can be omitted.
- Updated documentation in English, Japanese, and Chinese to ensure consistency and clarity.
* docs: add instructions for show_if conditional rendering
* docs: add Parser component documentation (zh/en/ja)
Add Parser as a new component type in plugin docs. Parser extracts
structured text from binary files (PDF, Word, etc.) before RAG engine
ingestion. Includes manifest format, parse method API, data models
(ParseContext/ParseResult/TextSection), RAGEngine integration via
parsed_content, and cross-plugin invoke_parser API.
Also add DOC_PARSING capability to RAG engine docs and parsed_content
field to IngestionContext.
Companion to SDK PR langbot-app/langbot-plugin-sdk#37 and
LangBot PR langbot-app/LangBot#2000.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* docs: rename RAGEngine components to KnowledgeEngine
* refactor: change rag engine to knowledge engine
---------
Co-authored-by: Claude Opus 4.6 <[email protected]>
Co-authored-by: Junyan Qin <[email protected]>
* 重构文档结构：移除 docs 目录，调整文件组织结构
* Reorder "插件 SDK API" section in docs.json
* Refactor and clarify various documentation sections
* Refine warnings and info boxes across multiple docs
* Refactor and simplify Japanese documentation content
* Update package.json to include mintlify as a dependency and add pnpm-lock.yaml for dependency management
* Update blog link and add description in docs.json
---------
Co-authored-by: Junyan Chin <[email protected]>
RockChinQ