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- Add RAG engine component type with full lifecycle support - Implement embedding, vector storage, and retrieval proxy APIs - Add RAG-related host service methods for plugins - Update SDK templates and CLI for RAG engine scaffolding - Bump version to 0.3.0-alpha.1
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RockChinQ
reviewed
Feb 22, 2026
RockChinQ
reviewed
Feb 22, 2026
…hema Remove RetrievalConfig class and redundant IngestionContext fields (chunking_strategy, chunk_size, chunk_overlap) since all parameters can be covered by the retrieval_settings_schema / creation_schema mechanism through custom_settings dicts. - Delete RetrievalConfig class and its export - Remove config field and get_top_k() from RetrievalContext, use top_k directly - Add retrieval_settings field to RetrievalContext (aligned with host) - Rename IngestionContext.custom_settings to creation_settings (aligned with host) - Update template to use context.top_k instead of context.get_top_k() Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…fields refactor(rag): remove redundant builtin fields, unify settings via schema
RockChinQ
reviewed
Feb 23, 2026
top_k is now passed via retrieval_settings dict, no longer a dedicated
field on RetrievalContext. Plugins should use
context.retrieval_settings.get('top_k', 5) instead.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
RockChinQ
reviewed
Feb 23, 2026
src/langbot_plugin/api/definition/components/rag_engine/engine.py
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CHUNKING_CONFIG, RERANK, HYBRID_SEARCH have no consumers — these behaviors are controlled by the plugin's creation_schema / retrieval_schema. Only DOC_INGESTION is used by the frontend to decide whether to render the document upload UI. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…y_text support - Add SearchType enum (vector, full_text, hybrid) to RAG entities - Add documents parameter to vector_upsert for full-text/hybrid search - Add search_type and query_text parameters to vector_search Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…stream Use send_file/read_local_file pattern instead of inline base64 encoding for large binary file transfers in the GET_RAG_FILE_STREAM action. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…37) * feat(parser): add Parser component and DOC_PARSING engine capability Add Parser as a new component type for external document parsing plugins. Includes SDK entities (ParseContext, ParseResult, TextSection), CLI scaffolding, runtime handlers for parse_document action, and plugin manager methods. Also add DOC_PARSING capability flag to RAGEngineCapability so engines can declare native parsing support — used by the frontend to decide whether to show the RAG engine as a parser option. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(parser): replace base64 with chunked file transfer and add invoke_parser API - Replace inline base64 file content with send_file/read_local_file chunked transfer pattern across the full parse_document chain - Add invoke_parser() method to LangBotAPIProxy for plugin developers Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
…in multiple languages
RockChinQ
approved these changes
Mar 5, 2026
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v0.3.0-alpha.1 Release Branch
RAGEngine Plugin Component (#31)
为 LangBot 插件 SDK 引入 RAGEngine 组件类型，使第三方插件可以提供自定义 RAG 实现：
RAGEngine基类，支持文档摄取、检索、删除及知识库生命周期管理（create/delete）invoke_embedding、rag_vector_upsert、rag_vector_search、rag_vector_delete等宿主服务代理方法spec.creation_schema/spec.retrieval_schema）lbp comp RAGEngine可脚手架生成 RAG 引擎插件模板Other